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Jun 12, 2024

Spring, TX

|

Data Warehousing

|

Perm

|

$120k - $200k (estimate)

{"JobID":362877,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-95.3631818181818,"Longitude":30.085,"Distance":null},"State":"Texas","Zip":"77380","ReferenceID":"HOU-8bedc854-0805-4aa4-8f14-0427f65a5570","PostedDate":"\/Date(1718212613000)\/","Description":"An Oil \u0026 Gas customer of Insight Global is looking for a Master Data Engineer to join their team full-time to sit in The Woodlands, TX, on a hybrid schedule 3 days a week and as needed with travel up to 5% within the Texas area. The IT division\u0027s primary goal over the next few years is focused on their Data Transformation efforts that will support all of the company\u0027s domains for midstream assets. This person will be designing, developing, and deploying innovative data and analytical solutions to enhance current operations and shape the future of the organization. The salary range for this role is dependent on level of experience with a flexible range of $120,000-$200,000 annually.Responsibilities:Collaborate with data stewards to design, develop and prioritize capabilities to accurately capture high quality data.Maintain and improve existing master data management systems while evaluating and implementing future improvements and solutions.Review integration complexities of current and future systems and understand the effects of combining data from different systems.Design, build, and manage data pipelines to ingest, transform, and distribute master data between enterprise systems and Azure destinations.Write complex system queries into operational systems to extract datasets that meet master data source ingestion requirements.Employ programming languages like Java and Python in relation to enhancing master data applications.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Master Data Engineer","City":"Spring","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Previous experience in administration and design of Master Data applications (ex. SAP Master Data Governance, Profisee, Tibco EBX)8+ years of experience as a Data Engineer and/or Software Developer with proficiency in JavaIn-depth knowledge with Azure cloud services (ex. ADF, Onelake, PowerBI, PowerQuery), relational database design principles, data warehousing and data modeling, performance tuning, and optimizationProficiency in T-SQL, ETL/ELT processes/tooling, data modeling, and database design principlesHigh level knowledge of Microsoft PurviewExcellent communication skills with the ability to interact with developers and business users supporting requirements gathering","Skills":"Oil and Gas/Midstream industry experienceHeavy Data Transformation experience","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":200000.0000,"SalaryLow":120000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

An Oil & Gas customer of Insight Global is looking for a Master Data Engineer to join their team full-time to sit in The Woodlands, TX, on a hybrid schedule 3 days a week and as needed with travel up... to 5% within the Texas area. The IT division's primary goal over the next few years is focused on their Data Transformation efforts that will support all of the company's domains for midstream assets. This person will be designing, developing, and deploying innovative data and analytical solutions to enhance current operations and shape the future of the organization. The salary range for this role is dependent on level of experience with a flexible range of $120,000-$200,000 annually.Responsibilities:Collaborate with data stewards to design, develop and prioritize capabilities to accurately capture high quality data.Maintain and improve existing master data management systems while evaluating and implementing future improvements and solutions.Review integration complexities of current and future systems and understand the effects of combining data from different systems.Design, build, and manage data pipelines to ingest, transform, and distribute master data between enterprise systems and Azure destinations.Write complex system queries into operational systems to extract datasets that meet master data source ingestion requirements.Employ programming languages like Java and Python in relation to enhancing master data applications.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Mar 09, 2026

Minneapolis, MN

|

Data Warehousing

|

Contract-to-perm

|

$57 - $71 (hourly estimate)

{"JobID":504198,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-93.26,"Longitude":44.96,"Distance":null},"State":"Minnesota","Zip":"55415","ReferenceID":"MSP-b54f2981-d558-45ea-8ff6-3e3fbe4ffeaf","PostedDate":"\/Date(1773084046000)\/","Description":"We are seeking a Senior Data Engineer with strong experience in data extraction, transformation, and analytics to support enterprise reporting and system modernization initiatives. This role will play a critical part in sunsetting legacy systems, extracting and consolidating data, and enabling high-quality reporting through Power BI and Tableau.You will work closely with analytics, engineering, and business stakeholders while building and maintaining cloud-native data solutions on Azure.Key Responsibilities:?Design, build, and maintain scalable data pipelines using Python and cloud-native services?Extract, transform, and load (ETL/ELT) data from legacy and sunsetting systems into modern analytics platforms?Develop and optimize AWS Lambda?style serverless workloads (or equivalent patterns) using Python?Model, store, and query structured data in PostgreSQL?Support and enable business reporting and analytics, partnering with BI teams using Power BI and Tableau?Ensure data accuracy, consistency, and availability for reporting and downstream analytics?Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions?Implement and maintain DevOps best practices, including CI/CD pipelines, infrastructure automation, and monitoring?Manage source control and collaboration using Git?Work closely with Azure services to build reliable, secure, and scalable data platforms?Monitor and troubleshoot data pipelines, ensuring performance, reliability, and cost efficiencyWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Engineer - Remote","City":"Minneapolis","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?6+ years of experience as a Data Engineer, Analytics Engineer, or similar role?Strong proficiency in Python for data engineering and automation?Hands-on experience with PostgreSQL (schema design, query optimization, performance tuning)?Experience with serverless or event-driven architectures (e.g., Lambda-style functions)?Solid DevOps experience, including CI/CD pipelines and deployment automation?Proficiency with Git and collaborative development workflows?Experience working in cloud environments, with a strong preference for Microsoft Azure?Proven experience supporting reporting and analytics platforms, especially Power BI and Tableau?Experience extracting and migrating data from legacy or decommissioned systems?Strong understanding of data quality, governance, and reliability best practices","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":71.0000,"SalaryLow":56.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Senior Data Engineer with strong experience in data extraction, transformation, and analytics to support enterprise reporting and system modernization initiatives. This role will... play a critical part in sunsetting legacy systems, extracting and consolidating data, and enabling high-quality reporting through Power BI and Tableau.You will work closely with analytics, engineering, and business stakeholders while building and maintaining cloud-native data solutions on Azure.Key Responsibilities:?Design, build, and maintain scalable data pipelines using Python and cloud-native services?Extract, transform, and load (ETL/ELT) data from legacy and sunsetting systems into modern analytics platforms?Develop and optimize AWS Lambda?style serverless workloads (or equivalent patterns) using Python?Model, store, and query structured data in PostgreSQL?Support and enable business reporting and analytics, partnering with BI teams using Power BI and Tableau?Ensure data accuracy, consistency, and availability for reporting and downstream analytics?Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions?Implement and maintain DevOps best practices, including CI/CD pipelines, infrastructure automation, and monitoring?Manage source control and collaboration using Git?Work closely with Azure services to build reliable, secure, and scalable data platforms?Monitor and troubleshoot data pipelines, ensuring performance, reliability, and cost efficiencyWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 08, 2026

Wilsonville, OR

|

Data Warehousing

|

Perm

|

$85k - $105k (estimate)

{"JobID":528301,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-122.78,"Longitude":45.3,"Distance":null},"State":"Oregon","Zip":"97070","ReferenceID":"POR-b4020363-6d4f-4d2e-ba59-30f1e958afaf","PostedDate":"\/Date(1778253918000)\/","Description":"We?re looking for an early-career Data Engineer to support the development and maintenance of data pipelines that drive reporting and analytics. This role will work closely with both technical teams and business stakeholders to ensure data is accurate, accessible, and reliable.You?ll be working primarily in SQL Server and Azure, helping with data integration, ETL processes, and data modeling efforts. This is a hands-on role with strong growth potential for someone looking to build their skills in cloud data engineering.Build and maintain data pipelines in SQL Server and AzureDevelop and optimize ETL/ELT processesSupport data modeling and warehouse design (star schema)Write and optimize SQL queries and stored proceduresWork with APIs to ingest and process dataPartner cross-functionally to deliver clean, usable datasetsMonitor pipelines and troubleshoot data quality/performance issuesWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"IT Data Engineer","City":"Wilsonville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"1?3 years of experience in data engineering, data analytics, or similarStrong SQL skills and experience with relational databases (SQL Server preferred)Hands-on ETL/ELT experienceCloud experience (Azure preferred)Experience with data modeling concepts (star schema)API/integration experience (REST, JSON, XML)Python experience (strongly preferred / close to required)","Skills":"Azure Data Factory experienceExposure to supply chain or operations environmentsExperience with SSIS, SSRS, or Power BIFamiliarity with version control (Git)Bachelor?s degree in a related field (or equivalent experience)","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":105000.0000,"SalaryLow":85000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We?re looking for an early-career Data Engineer to support the development and maintenance of data pipelines that drive reporting and analytics. This role will work closely with both technical teams... and business stakeholders to ensure data is accurate, accessible, and reliable.You?ll be working primarily in SQL Server and Azure, helping with data integration, ETL processes, and data modeling efforts. This is a hands-on role with strong growth potential for someone looking to build their skills in cloud data engineering.Build and maintain data pipelines in SQL Server and AzureDevelop and optimize ETL/ELT processesSupport data modeling and warehouse design (star schema)Write and optimize SQL queries and stored proceduresWork with APIs to ingest and process dataPartner cross-functionally to deliver clean, usable datasetsMonitor pipelines and troubleshoot data quality/performance issuesWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 06, 2026

Santa Barbara, CA

|

Data Warehousing

|

Contract

|

$56 - $70 (hourly estimate)

{"JobID":503245,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-119.77,"Longitude":34.43,"Distance":null},"State":"California","Zip":"93110","ReferenceID":"SFR-4082c16d-6df1-454a-aff2-3ce35bb1314c","PostedDate":"\/Date(1772759937000)\/","Description":"We are seeking an experienced Senior Data Engineer with deep expertise in health plan / managed care environments to design, develop, and maintain enterprise-grade data solutions. This role will support critical healthcare operations and analytics by working with QNXT replicated databases, Oracle platforms, and complex SQL-based data transformations in a Unix/Linux environment.The ideal candidate has hands-on experience supporting payer systems, understands healthcare data models (claims, eligibility, providers, members), and can work independently in a highly regulated environment.Key ResponsibilitiesDesign, develop, and optimize scalable data pipelines and data models supporting healthcare and managed care use casesWork extensively with Oracle databases, including performance tuning, query optimization, and data integrity managementDevelop and maintain complex SQL, PL/SQL, and T-SQL scripts, procedures, functions, and packagesSupport and manage data extracted from QNXT replicated databases, ensuring accuracy, timeliness, and reliabilityCollaborate with business, analytics, and reporting teams to translate health plan requirements into technical solutionsPerform root-cause analysis and resolve data quality, performance, and integration issuesOperate within Unix/Linux environments, including scripting, scheduling, and job monitoringEnsure compliance with healthcare data governance, security, and regulatory standards (HIPAA, PHI handling)Provide technical guidance and mentorship to junior engineers as neededWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Engineer","City":"Santa Barbara","ExpirationDate":null,"PriorityOrder":0,"Requirements":"7+ years of experience as a Data Engineer or similar roleStrong health plan / managed care experience Hands-on experience with QNXT replicated databasesAdvanced expertise in Oracle database developmentStrong proficiency in SQL and PL/SQL / T-SQLExperience working in Unix/Linux environmentsDeep understanding of healthcare data domains (claims, membership, providers, benefits)Ability to work independently in a fast-paced, highly regulated environment","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":70.0000,"SalaryLow":56.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking an experienced Senior Data Engineer with deep expertise in health plan / managed care environments to design, develop, and maintain enterprise-grade data solutions. This role will... support critical healthcare operations and analytics by working with QNXT replicated databases, Oracle platforms, and complex SQL-based data transformations in a Unix/Linux environment.The ideal candidate has hands-on experience supporting payer systems, understands healthcare data models (claims, eligibility, providers, members), and can work independently in a highly regulated environment.Key ResponsibilitiesDesign, develop, and optimize scalable data pipelines and data models supporting healthcare and managed care use casesWork extensively with Oracle databases, including performance tuning, query optimization, and data integrity managementDevelop and maintain complex SQL, PL/SQL, and T-SQL scripts, procedures, functions, and packagesSupport and manage data extracted from QNXT replicated databases, ensuring accuracy, timeliness, and reliabilityCollaborate with business, analytics, and reporting teams to translate health plan requirements into technical solutionsPerform root-cause analysis and resolve data quality, performance, and integration issuesOperate within Unix/Linux environments, including scripting, scheduling, and job monitoringEnsure compliance with healthcare data governance, security, and regulatory standards (HIPAA, PHI handling)Provide technical guidance and mentorship to junior engineers as neededWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 05, 2026

Mount Juliet, TN

|

Data Warehousing

|

Contract

|

$56 - $70 (hourly estimate)

{"JobID":515141,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-86.52,"Longitude":36.2,"Distance":null},"State":"Tennessee","Zip":"37122","ReferenceID":"MIA-0136df05-35cd-4f5e-bfb5-59c3af83f6b2","PostedDate":"\/Date(1775420727000)\/","Description":"The Senior Data Engineer will be responsible for designing, governing, and evolving a centralized data platform in Snowflake by ingesting large volumes of both structured and unstructured data from multiple internal source systems. On a day-to-day basis, this role works closely with other data engineers, providing hands-on technical guidance, architectural direction, and best-practice recommendations to ensure data is modeled, streamed, and organized correctly within Snowflake. The engineer leverages Azure Data Factory to orchestrate batch and streaming pipelines, establishes a more structured and scalable approach to data ingestion, and ensures performance, reliability, and cost efficiency across Snowflake workloads. They partner with analytics and reporting stakeholders to support highly customized Power BI reports and semantic models, while also advising on modern Snowflake capabilities, such as AI/Cortex features where appropriate. This role serves as the on-site subject matter expert, spending significant time reviewing designs, explaining recommended approaches, documenting standards, and translating business requirements into scalable data models to support enterprise analytics and decision-making.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Engineer","City":"Mount Juliet","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 7+ years of experience in data engineering with strong hands-on expertise in Snowflake and Power BI ? Ability to design analytics-ready data models and enterprise BI solutions and dashboards ? Strong background in Snowflake architecture design, including multi-cluster warehouses, workload isolation, and scaling strategies? Experience with Azure Data Factory and well-versed in working with large-scale structured/unstructured datasets? Deep understanding of ELT/ETL patterns, data warehousing concepts, and performance tuning ? Strong Snowflake experience across ingestion, optimization, governance/security, and large-scale data platform design, including hands-on use of native features and cost-efficient architecture? Hands-on experience with Snowflake-native development and AI capabilities (Snowpark, Native Apps/Snowlit, unstructured data handling, and ML integrations)? Advanced SQL and Python skills for data transformation, automation, and analytics enablement","Skills":"Experience with Snowflake Cortex / AI \u0026 ?super intelligence? capabilities","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":70.0000,"SalaryLow":56.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Senior Data Engineer will be responsible for designing, governing, and evolving a centralized data platform in Snowflake by ingesting large volumes of both structured and unstructured data from... multiple internal source systems. On a day-to-day basis, this role works closely with other data engineers, providing hands-on technical guidance, architectural direction, and best-practice recommendations to ensure data is modeled, streamed, and organized correctly within Snowflake. The engineer leverages Azure Data Factory to orchestrate batch and streaming pipelines, establishes a more structured and scalable approach to data ingestion, and ensures performance, reliability, and cost efficiency across Snowflake workloads. They partner with analytics and reporting stakeholders to support highly customized Power BI reports and semantic models, while also advising on modern Snowflake capabilities, such as AI/Cortex features where appropriate. This role serves as the on-site subject matter expert, spending significant time reviewing designs, explaining recommended approaches, documenting standards, and translating business requirements into scalable data models to support enterprise analytics and decision-making.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 09, 2026

Charlotte, NC

|

Data Warehousing

|

Contract

|

$48 - $60 (hourly estimate)

{"JobID":517133,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28203","ReferenceID":"CLT-17963fb8-8a9c-4262-9465-399a55c6d154","PostedDate":"\/Date(1775757428000)\/","Description":"Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AWS Data Engineer","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8+ years experience ?3+ years with AWS (setting up pipelines, using resources, etc.)?Background in ETL (ab initio, talend, AWS Glue, etc)?Pyspark?Object oriented programming?AI experience (understanding of agents and how to use then)?Advanced SQL experience (multi-joins, complex queries, profiling and summarizing data, etc.)?Strong data analysis knowledge and running through requirements?Understanding of data and how to create and analysis from looking at the data within SQL?Understanding of the relationship, summarizing and profiling data within SQL?Proven problem solving experience","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to... unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 19, 2026

San Francisco, CA

|

Data Warehousing

|

Contract

|

$67 - $84 (hourly estimate)

{"JobID":531690,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.41,"Longitude":37.74,"Distance":null},"State":"California","Zip":"94110","ReferenceID":"AUS-f66dba23-1856-438f-8835-c122e395fea6","PostedDate":"\/Date(1779160999000)\/","Description":"An employer is seeking a Senior Data Engineer to support the Data Strategy \u0026 Operations function. This role will focus on building and managing scalable data integration patterns into Data 360, onboarding third-party data providers, and ensuring reliable ingestion, transformation, and distribution of data across the organization.The ideal candidate will combine strong technical expertise in modern data engineering stacks with hands-on experience building and maintaining production-grade pipelines in a fast-paced environment.He or she will be responsible for:Design and deliver new data integrations from third-party data providers into Data 360Manage and enhance existing ingestion pipelines to support new datasets and evolving business needsDevelop and maintain data egress patterns to distribute data outputs to multiple downstream systems and platformsMonitor, maintain, and troubleshoot batch and real-time data pipelines to ensure reliability and performanceTrack and report key ingestion KPIs including data volume, number of streams, pipeline health, and throughput metricsCollaborate closely with Product, Data Science, and Analytics teams to support data-driven initiativesEnsure data quality, integrity, and availability across all pipelines and integrationsThis role is fully remote with the preference being located with PST or CST time zone preference.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr Data Engineer - REMOTE","City":"San Francisco","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years of experience in data engineering and ETL developmentStrong experience with Informatica (preferred) or similar ETL toolsHands-on experience with Airflow for orchestration and MuleSoft for integrationsAdvanced SQL skills with Snowflake and other relational databasesProven experience building batch and real-time data pipelinesStrong experience writing Python modules for custom ETL workflowsExperience with dbt for data transformation and modelingSolid understanding of data modeling, data warehousing, and big data processing frameworksExperience with data quality, monitoring, and pipeline orchestration frameworksFamiliarity with AWS and/or GCP environmentsExperience working with distributed and event-driven architectures","Skills":"Experience working with Salesforce platforms and data modelsExposure to Salesforce Flows and ApexExperience integrating with third-party data vendors and APIs","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":84.0000,"SalaryLow":67.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

An employer is seeking a Senior Data Engineer to support the Data Strategy & Operations function. This role will focus on building and managing scalable data integration patterns into Data 360,... onboarding third-party data providers, and ensuring reliable ingestion, transformation, and distribution of data across the organization.The ideal candidate will combine strong technical expertise in modern data engineering stacks with hands-on experience building and maintaining production-grade pipelines in a fast-paced environment.He or she will be responsible for:Design and deliver new data integrations from third-party data providers into Data 360Manage and enhance existing ingestion pipelines to support new datasets and evolving business needsDevelop and maintain data egress patterns to distribute data outputs to multiple downstream systems and platformsMonitor, maintain, and troubleshoot batch and real-time data pipelines to ensure reliability and performanceTrack and report key ingestion KPIs including data volume, number of streams, pipeline health, and throughput metricsCollaborate closely with Product, Data Science, and Analytics teams to support data-driven initiativesEnsure data quality, integrity, and availability across all pipelines and integrationsThis role is fully remote with the preference being located with PST or CST time zone preference.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 08, 2026

Irvine, CA

|

Data Warehousing

|

Contract,Perm Possible

|

$73 - $91 (hourly estimate)

{"JobID":528617,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-117.73,"Longitude":33.67,"Distance":null},"State":"California","Zip":"92618","ReferenceID":"OCC-10a82c71-cc2b-4928-a34e-0e42035de7e5","PostedDate":"\/Date(1778279001000)\/","Description":"The Databricks Engineer is responsible for designing and delivering scalable data solutions that support enterprise analytics and business operations. This role focuses on backend data engineering, provides technical leadership, and partners closely with stakeholders to support data platform modernization. In this role, you?ll work hands-on building and optimizing data pipelines in Azure and Databricks, collaborate with business and technical partners to design modern data solutions, review code and architecture, support platform modernization initiatives, and act as a technical resource for the broader data engineering team.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer (Databricks)","City":"Irvine","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years of data engineering or related experience? Strong experience with Azure data services, including: ? Azure Data Factory (ADF)? Azure Data Lake (ADLS)? Databricks? DBT / Airflow (or similar orchestration tools)? Proficiency in Python (Java or Scala acceptable)? Expert-level SQL, including performance tuning and data modeling? Experience designing enterprise databases (Microsoft SQL Server)? Experience with ETL/ELT, APIs (REST/JSON), and version control (Git)Ability to write scalable, reusable, and maintainable code","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":91.0000,"SalaryLow":72.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Databricks Engineer is responsible for designing and delivering scalable data solutions that support enterprise analytics and business operations. This role focuses on backend data engineering,... provides technical leadership, and partners closely with stakeholders to support data platform modernization. In this role, you?ll work hands-on building and optimizing data pipelines in Azure and Databricks, collaborate with business and technical partners to design modern data solutions, review code and architecture, support platform modernization initiatives, and act as a technical resource for the broader data engineering team.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 20, 2026

Atlanta, GA

|

Data Warehousing

|

Contract-to-perm

|

$10 - $12 (hourly estimate)

{"JobID":508991,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-84.47,"Longitude":33.86,"Distance":null},"State":"Georgia","Zip":"30339","ReferenceID":"ATL-2c10f767-3421-48c7-b67c-fb44ea15c62c","PostedDate":"\/Date(1773970432000)\/","Description":"?Design and implement scalable, secure, and high-performance data engineering frameworks?Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration?Leverage Snowflake features (Snowpipe, Streams \u0026 Tasks, Native Apps) and DBT for building scalable, enterprise-grade data solutions across ingestion, transformation, and orchestration?Optimize Synapse SQL Dedicated Pools to enhance BI performance?Build data pipelines that seamlessly connect to reporting platforms such as Tableau and Power BI, enabling interactive and timely business insights?Ensure data accuracy and integrity through validation checks, lineage tracking, and quality monitoring?Tune workflows for performance and cost-efficiency at scalePay Rate: $10.00-$14.00 an hour depending on skills and experienceWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Engineer","City":"Atlanta","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?4?7 years of total experience in Data engineering and big data pipeline development?Demonstrated experience in Snowflake and DBT?Experience with big data processing frameworks and modern data architecture principles?Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation?Hands-on experience in building end-to-end ETL/ELT pipelines using DBT.?Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms?Hands-on experience with large-scale data platforms and performance tuning for high-volume data pipelines?Well-versed in DevOps practices, Git, and CI/CD pipelines for automating data engineering workflows?Strong understanding of modern data architecture and governance frameworks in a cloud environment","Skills":"?Proficiency in Tableau and BI tools with experience in building scalable dashboards and optimizing data models?Basic knowledge of SAP data models?Ability to independently lead and deliver end-to-end data engineering projects with minimal supervision","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":12.0000,"SalaryLow":9.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

?Design and implement scalable, secure, and high-performance data engineering frameworks?Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration?Leverage... Snowflake features (Snowpipe, Streams & Tasks, Native Apps) and DBT for building scalable, enterprise-grade data solutions across ingestion, transformation, and orchestration?Optimize Synapse SQL Dedicated Pools to enhance BI performance?Build data pipelines that seamlessly connect to reporting platforms such as Tableau and Power BI, enabling interactive and timely business insights?Ensure data accuracy and integrity through validation checks, lineage tracking, and quality monitoring?Tune workflows for performance and cost-efficiency at scalePay Rate: $10.00-$14.00 an hour depending on skills and experienceWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 18, 2026

Tampa, FL

|

Data Warehousing

|

Contract-to-perm

|

$42 - $52 (hourly estimate)

{"JobID":531414,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-82.48,"Longitude":27.95,"Distance":null},"State":"Florida","Zip":"33607","ReferenceID":"NNJ-6edbd2b9-72bd-493f-82ae-4665ce3447bf","PostedDate":"\/Date(1779122944000)\/","Description":"PGIM Real Estate is seeking an Azure Data Engineer to play a key role in modernizing the firm?s data platform and advancing its data and analytics capabilities. This is a transformational role directly aligned with PGIM Real Estate?s commitment to leveraging data, analytics, and technology to proactively address business challenges and unlock new opportunities.The Data Engineer will be responsible for supporting and enhancing existing ETL processes for the on- prem data lake (PostgreSQL) while leading the evolution and migration of these processes to Microsoft Fabric. This role will focus heavily on developing and maintaining SQL-based transformation logic to ensure high quality, trusted, and analytics ready data.Working closely with the Data Management team, the Data Engineer will help identify, remediate, and prevent data quality issues by encoding validation rules and controls directly into data pipelines. The role will also contribute to the evaluation and implementation of tools and frameworks supporting data governance, architecture, and data quality as the platform continues to evolve.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Jr Python Data Engineer","City":"Tampa","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 3+ years of experience in a data engineering or analytics engineering role- Strong hands-on experience with SQL, including complex transformations, performance tuning, and data modeling- Strong Python scripting experience for data transformation projects- Experience supporting ETL pipelines in an on prem or hybrid data lake environment- Experience migrating or modernizing data platforms to Azure and/or Microsoft Fabric (Lakehouse, Pipelines, or related services)- Refactor and migrate data ingestion, transformation, and orchestration processes to Microsoft Fabric using modern cloud-native patterns.- Bachelor?s degree required","Skills":"PostgreSQL strongly preferred","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":52.0000,"SalaryLow":41.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

PGIM Real Estate is seeking an Azure Data Engineer to play a key role in modernizing the firm?s data platform and advancing its data and analytics capabilities. This is a transformational role... directly aligned with PGIM Real Estate?s commitment to leveraging data, analytics, and technology to proactively address business challenges and unlock new opportunities.The Data Engineer will be responsible for supporting and enhancing existing ETL processes for the on- prem data lake (PostgreSQL) while leading the evolution and migration of these processes to Microsoft Fabric. This role will focus heavily on developing and maintaining SQL-based transformation logic to ensure high quality, trusted, and analytics ready data.Working closely with the Data Management team, the Data Engineer will help identify, remediate, and prevent data quality issues by encoding validation rules and controls directly into data pipelines. The role will also contribute to the evaluation and implementation of tools and frameworks supporting data governance, architecture, and data quality as the platform continues to evolve.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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