Job Search Results for data engineer
Apr 14, 2026
Chicago, IL
|
Data Warehousing
|
Contract
|
$18 - $22 (hourly estimate)
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Grant Thornton has established a Data & Analytics function under the Chief Technology Officer. This team is leading a firm-wide transition to a modern cloud data warehouse built on Snowflake,... supporting ongoing acquisitions, global system integrations, and a large-scale ERP rollout.Grant Thornton is hiring three (3) mid-level Data Engineers to support this transformation. The Data Engineer will design, build, and support data pipelines and integrations that move enterprise data into Snowflake and downstream analytics platforms. This role supports large-scale data warehouse migrations, country-by-country global integrations, and continued system onboarding tied to acquisitions.This is a hands-on, delivery-focused role requiring strong SQL and Python skills, experience with modern cloud data platforms, and the ability to collaborate closely with other engineers, analysts, and project teams.Key Responsibilities: ? Design, develop, and maintain ETL/ELT data pipelines, primarily into Snowflake? Integrate data from enterprise systems including Oracle HCM, Dynamics CRM, and ERP platforms (SAP public cloud rollout beginning later this year)? Support ongoing global integrations (Ireland already live; multiple additional countries in progress)? Perform data mapping, transformation, and validation to ensure accuracy, consistency, and usability? Write and optimize complex SQL queries and Python-based data transformations? Support modular data modeling and transformation frameworks (e.g., dbt)? Monitor data pipelines and resolve issues related to performance, data quality, and reliability? Collaborate with data engineers, analysts, and architects as part of a team-based delivery modelContribute to data quality practices and documentation across the data platformWe 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 18, 2026
Southfield, MI
|
Software Engineering
|
Perm
|
$90k - $135k (estimate)
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Other responsibilities include: ?Own and develop the data platform and surrounding infrastructure, rather than operating in a ticket only support role?Design, build, maintain, and monitor ETL/ELT pipelines that ingest, transform, and enrich data into reliable data products?Spend approximately 50% of time on new development and 50% on platform support and operational work, including responding when existing components break?Lead and contribute to new incoming projects, including initiatives focused on real time data and additional automated processes?Proactively identify greenfield opportunities and independently drive solutions from idea through implementation?Work extensively with Python and SQL to build and enhance data pipelines?Develop and support Snowflake based components?Support and evolve Azure based components that enable and scale the data platform?Build and maintain CI/CD pipelines and automated testing to support reliable deployments?Support platform operations tied to incident and change management processes while prioritizing automation and prevention?Partner with data, infrastructure, cybersecurity, and compliance teams to implement and maintain governance, security, and metadata standards?Identify and drive improvements to platform performance, technical debt reduction, and cloud cost optimization?Maintain clear technical and support documentation and escalate platform risks or issues when appropriateCompensation:$90,000 to $120,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role include:- Medical, Dental, Vision Insurance- Life Insurance and Disability- Voluntary Wellness Programs- 401(k) and RRSP programs with Company Match - Paid Vacation and Holidays- Tuition Reimbursement- And more!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","City":"Southfield","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 1+ year of experience in the IT industry, including 1+ year working in a Data Engineer (or equivalent) capacity- Hands-on experience with Snowflake, Python, and SQL- 1+ year building ETL/ELT pipelines to load and transform structured and semi-structured data (using tools such as Airflow, Fivetran, Qlik, dbt, ADF, Snowpipe, Matillion, or similar)- Experience loading data into relational databases, data warehouses, and/or data lakes in Azure or another cloud platform- Experience designing and implementing data models (relational, star schema, and snowflake schema)- Working knowledge of DevOps concepts for data workloads, including CI/CD, automated testing, and code management/version control (e.g., GitHub)","Skills":"- Familiarity with SAP supply chain data and/or within aerospace","Industry":"Software Engineering","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":135000.0000,"SalaryLow":90000.0000,"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 a Data Engineer to support one of our aerospace customers. The Data Engineer is responsible for owning and actively evolving the data platform, balancing hands on... development with platform stability and improvement. This role goes beyond ticket execution and support work; the engineer brings energy and ownership to daily work, proactively identifying opportunities, driving new initiatives, and collaborating closely with a small, global data team. Day to day includes a mix of new project development and operational support as the platform continues to grow, with an emphasis on automation, modernization, and scalable data solutions. Other responsibilities include: ?Own and develop the data platform and surrounding infrastructure, rather than operating in a ticket only support role?Design, build, maintain, and monitor ETL/ELT pipelines that ingest, transform, and enrich data into reliable data products?Spend approximately 50% of time on new development and 50% on platform support and operational work, including responding when existing components break?Lead and contribute to new incoming projects, including initiatives focused on real time data and additional automated processes?Proactively identify greenfield opportunities and independently drive solutions from idea through implementation?Work extensively with Python and SQL to build and enhance data pipelines?Develop and support Snowflake based components?Support and evolve Azure based components that enable and scale the data platform?Build and maintain CI/CD pipelines and automated testing to support reliable deployments?Support platform operations tied to incident and change management processes while prioritizing automation and prevention?Partner with data, infrastructure, cybersecurity, and compliance teams to implement and maintain governance, security, and metadata standards?Identify and drive improvements to platform performance, technical debt reduction, and cloud cost optimization?Maintain clear technical and support documentation and escalate platform risks or issues when appropriateCompensation:$90,000 to $120,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role include:- Medical, Dental, Vision Insurance- Life Insurance and Disability- Voluntary Wellness Programs- 401(k) and RRSP programs with Company Match - Paid Vacation and Holidays- Tuition Reimbursement- And more!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)
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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/.
Feb 24, 2026
Los Angeles, CA
|
Data Warehousing
|
Contract
|
$64 - $80 (hourly estimate)
{"JobID":498536,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.4,"Longitude":33.95,"Distance":null},"State":"California","Zip":"90045","ReferenceID":"LAX-9123f169-e091-42c0-8b37-bda93cba066d","PostedDate":"\/Date(1771893705000)\/","Description":"Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools \u0026 Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.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":"GCP Data Engineer/Architect","City":"Los Angeles","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).? Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.? Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.? Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.? Hands-on experience using DBT for data modeling and transformation workflows.Strong understanding and application of ERD architecture in enterprise data systems.","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":80.0000,"SalaryLow":64.0000,"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)\/"}
Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team... operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.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/.
Jan 16, 2026
Portland, OR
|
Data Warehousing
|
Contract
|
$30 - $37 (hourly estimate)
{"JobID":483463,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.67,"Longitude":45.51,"Distance":null},"State":"Oregon","Zip":"97204","ReferenceID":"POR-19de82f2-8cb6-4f10-a06a-9cf7b94cecaa","PostedDate":"\/Date(1768522387000)\/","Description":"An insurance company is looking for a Jr. Data Engineer to join the Modeling Optimization team within the Actuarial Transformation team. This person needs to be eager to learn and grow within this role. This position requires investigating, researching, and reporting findings to the lead analyst on the team. There will be hands on development within Python and interfacing with technical and business team members. This position will provide opportunities to explore different technologies and learn different parts of the business, asking questions and leaning into the mentor\u0027s knowledge is encouraged!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. Data Engineer","City":"Portland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"1+ years of experience as a Data EngineerExperience with PythonExperience analyzing systems, data, and processes for improvementsAbility to gather requirements, investigate \u0026 research","Skills":"Dataiku experienceDatabricks","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":37.0000,"SalaryLow":29.6000,"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)\/"}
An insurance company is looking for a Jr. Data Engineer to join the Modeling Optimization team within the Actuarial Transformation team. This person needs to be eager to learn and grow within this... role. This position requires investigating, researching, and reporting findings to the lead analyst on the team. There will be hands on development within Python and interfacing with technical and business team members. This position will provide opportunities to explore different technologies and learn different parts of the business, asking questions and leaning into the mentor's knowledge is encouraged!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 08, 2026
Charlotte, NC
|
Data Warehousing
|
Contract
|
$50 - $62 (hourly estimate)
{"JobID":516368,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28203","ReferenceID":"CLT-bdaa9dde-5ca5-43c9-b86d-2388a9a24a7c","PostedDate":"\/Date(1775650566000)\/","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":"?12+ years experience ?6+ years with Data Engineering?4+ 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":62.0000,"SalaryLow":49.6000,"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)\/"}
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/.
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 22, 2026
Detroit, MI
|
Computer Engineering
|
Contract
|
$50 - $62 (hourly estimate)
{"JobID":521743,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-83.1,"Longitude":42.38,"Distance":null},"State":"Michigan","Zip":"48243","ReferenceID":"MIC-9ef04f32-6c65-4cbd-8ad9-73dd10b545d0","PostedDate":"\/Date(1776858053000)\/","Description":"We?re looking for a Senior Data Engineer to build and maintain the data pipelines and integrations that power enterprise analytics and client-facing solutions at OneMagnify.This is a craft-focused role where the quality of your work directly impacts analytics, AI products, and the insights clients rely on to make business decisions. The ideal candidate enjoys building reliable data infrastructure, understands how data moves across complex enterprise environments, and collaborates closely with architects, analysts, and data scientists to ensure data is clean, trustworthy, and scalable.This is a great fit for a senior-level Data Engineer who values strong fundamentals, cares deeply about data quality, and wants to work on high-impact client data environments.Compensation:$56hr to $62/hrExact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.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","City":"Detroit","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience? 5+ years of hands-on experience in data engineering development or implementation? Strong SQL skills for data analysis, validation, and troubleshooting? Hands-on experience with Databricks (Delta Lake, Unity Catalog, Spark)? Experience with AWS data services such as Glue, Redshift, S3, Lambda, or Step Functions? Familiarity with APIs and enterprise system integrations","Skills":"? Experience with Databricks MLflow or Feature Store supporting AI/ML pipelines? Familiarity with marketing data ecosystems, including CRM platforms, CDPs, or Martech/Adtech data flows? Exposure to data observability or governance tooling such as lineage tracking, cataloging, or pipeline monitoring? Experience working in a digital agency, marketing services, or consulting environment with multiple concurrent client data environments? Working knowledge of streaming data pipelines or event-driven architectures such as Kafka or Kinesis","Industry":"Computer Engineering","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":62.0000,"SalaryLow":49.6000,"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)\/"}
We?re looking for a Senior Data Engineer to build and maintain the data pipelines and integrations that power enterprise analytics and client-facing solutions at OneMagnify.This is a craft-focused... role where the quality of your work directly impacts analytics, AI products, and the insights clients rely on to make business decisions. The ideal candidate enjoys building reliable data infrastructure, understands how data moves across complex enterprise environments, and collaborates closely with architects, analysts, and data scientists to ensure data is clean, trustworthy, and scalable.This is a great fit for a senior-level Data Engineer who values strong fundamentals, cares deeply about data quality, and wants to work on high-impact client data environments.Compensation:$56hr to $62/hrExact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.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/.
Apr 22, 2026
Erlanger, KY
|
Data Warehousing
|
Contract-to-perm
|
$13 - $16 (hourly estimate)
{"JobID":521771,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-84.58,"Longitude":39,"Distance":null},"State":"Kentucky","Zip":"41018","ReferenceID":"CIN-63b59ca8-dd3d-411c-b34b-82209864afce","PostedDate":"\/Date(1776861361000)\/","Description":"A fortune 50 organization is seeking a Senior Data Engineer for a long-term opportunity that will sit Hybrid onsite in Bengaluru India. Duties include the following:Supporting digital product for business that allows sales analyses of various items Pull portfolio data of core items for analysisDesign, develop, test and document data integrations and assist with deployment, validation and hyper care processesMaintain and support existing ETL/ELT integrations leveraging technical documentationUnderstand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.)Analyze data and assist with developing insights to enable business decision makingDoing source mapping, building ETL pipelines using ADF pipelines in conjunction with T-SQL, integration between data platforms (50% building pipelines/50% integrations)Indexing and performance tuning of SQL serverWe 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":"INTL - India - Senior Data Engineer","City":"Erlanger","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years of experience as a Data Engineer 5+ years of experience with SQL and T-SQL 3+ years with azure data factory to build ETL pipelines3+ years of experience with databricks 3+ years of experience with Python or PySpark scripting 3+ years of experience working with Azure environment Ability to work on various data structures from structured to unstructured (experience working on big data \u0026 AI workloads including Generative AI)","Skills":"Experience working manufacturing, food or beverage industries","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":16.0000,"SalaryLow":12.8000,"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)\/"}
A fortune 50 organization is seeking a Senior Data Engineer for a long-term opportunity that will sit Hybrid onsite in Bengaluru India. Duties include the following:Supporting digital product for... business that allows sales analyses of various items Pull portfolio data of core items for analysisDesign, develop, test and document data integrations and assist with deployment, validation and hyper care processesMaintain and support existing ETL/ELT integrations leveraging technical documentationUnderstand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.)Analyze data and assist with developing insights to enable business decision makingDoing source mapping, building ETL pipelines using ADF pipelines in conjunction with T-SQL, integration between data platforms (50% building pipelines/50% integrations)Indexing and performance tuning of SQL serverWe 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/.