Job Search Results for data engineer
Jul 28, 2026
Mountain View, CA
|
Data Warehousing
|
Contract
|
$61 - $76 (hourly estimate)
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This team sits within our customer's broader Marketing organization, within the Brand Social scope, and is responsible for developing the data, analytics, and AI capabilities that help marketers... deliver data driven decisions. More granularly, this individual will serve as a key contributor to the Social Data Warehouse team, helping build and maintain the underlying marketing data infrastructure that powers reporting, analytics, and emerging AI applications. They will work directly with internal engineering teams to onboard new data sources, build and optimize data pipelines, and ensure data is reliably surfaced to front-end applications and business tools. A significant portion of the role will involve integrating APIs and third-party vendor data, troubleshooting data flows, and ensuring scalable, high-quality access to information across the organization. The ideal candidate will be comfortable operating in a cloud-based environment, partnering with both engineers and business stakeholders, and helping establish the technical foundation for future analytics and AI initiatives.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/.
Jul 16, 2026
Riverside, CA
|
Data Warehousing
|
Contract
|
$52 - $65 (hourly estimate)
{"JobID":553160,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-117.31,"Longitude":33.96,"Distance":null},"State":"California","Zip":"92507","ReferenceID":"OCC-743ad3d6-ab90-4e0a-b483-2fadef3a814f","PostedDate":"\/Date(1784236732000)\/","Description":"One of Insight Global?s customers is seeking a Senior Data Engineer to support the development of a modernized data platform that consolidates information across multiple enterprise systems. This person will be responsible for building and maintaining data pipelines, integrating data from various sources, and enabling downstream applications and analytics through a scalable data architecture. The ideal candidate will be comfortable owning both the process and product while working independently in a remote environment. This is a 6 month contract and will be required to work PT or MT timezones.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":"Remote Sr. Data Engineer","City":"Riverside","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5-7+ years of Data Engineering experience Strong experience with Google Cloud Platform (GCP) and BigQuery Hands-on experience with dbt for data transformation Experience utilizing GitLab Strong Python scripting skills for developing custom data pipelines Experience building and supporting modern data warehouse solutions","Skills":"ETL development experience Previous higher education experience Familiarity with student information or learning management systems","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":65.0000,"SalaryLow":52.0000,"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)\/"}
One of Insight Global?s customers is seeking a Senior Data Engineer to support the development of a modernized data platform that consolidates information across multiple enterprise systems. This... person will be responsible for building and maintaining data pipelines, integrating data from various sources, and enabling downstream applications and analytics through a scalable data architecture. The ideal candidate will be comfortable owning both the process and product while working independently in a remote environment. This is a 6 month contract and will be required to work PT or MT timezones.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/.
Aug 10, 2026
Charlotte, NC
|
Data Warehousing
|
Contract
|
$51 - $64 (hourly estimate)
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Insight Global is looking for a Data Engineer/Analyst to joining an existing team with a client within the Financial Industry. This person will be responsible for working within an AWS data lake... environment utilizing PowerBI and AI to convert data into insights and reports. This person will be parterning with the Product Owners and Business users and will be expected to drive decisions and determine what needs to be done and how to do it. This position is not for someone who is used to getting tasks and to do lists handed to them. Candidate must come from an AWS background and have some engineering experience. Basic/intermediate coding experience with Python is needed as well as hands on experience with SQL.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/.
Jun 17, 2026
Northbrook, IL
|
Data Warehousing
|
Contract-to-perm
|
$22 - $28 (hourly estimate)
{"JobID":542554,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-87.83,"Longitude":42.12,"Distance":null},"State":"Illinois","Zip":"60062","ReferenceID":"CHI-1e8f16ac-0046-456a-b960-fb7bf52a781e","PostedDate":"\/Date(1781708659000)\/","Description":"The Senior Data Engineer plays a senior role in the design, development, and maintenance of constructing and populating a data lakehouse. This position helps develop and improve processes and techniques that ensure efficient data processing and high data quality to power analytics. The role applies technical expertise to design data architecture and data models and to build pipelines that populate the various data zones (bronze, silver, and gold) within a data lakehouse architecture. JOB RESPONSIBILITIES: ?Lead end-to-end technical delivery of complex data and analytics solutions, ensuring scalability, reliability, and alignment to business outcomes ? Design, build, and optimize data pipelines and analytical data models (batch and near real-time) to support enterprise reporting, BI, and advanced analytics use cases ?Assess source systems and data quality, defining transformation logic, data standards, and controls to meet business definitions and governance requirements ?Partner with business and technical stakeholders to translate requirements into technical designs, and contribute to estimation, planning, and delivery sequencing ?Drive data architecture and engineering best practices, including modular design, reusability, performance optimization, and cost efficiency ?Mentor and coach team members, elevating overall engineering capability through guidance, knowledge sharing, and hands-on support ?Perform code and design reviews, ensuring adherence to standards, maintainability, and optimal performance of data solutions ?Lead root cause analysis and issue resolution, implementing preventative measures and performance improvements across pipelines and platforms ?Continuously improve delivery processes, identifying opportunities to increase speed, quality, automation, and reliability ?Implement and enforce data governance practices, including lineage, documentation, data quality checks, and secure data handling ?Collaborate with platform and infrastructure teams to ensure optimal use of cloud data platforms (e.g., Snowflake, Azure), including performance tuning and cost management ?Support DevOps and CI/CD practices for data engineering, including automated testing, deployment pipelines, and environment management ?Ensure operational excellence, including monitoring, alerting, and SLAs for critical data pipelines and data products ?Contribute to platform strategy and tool selection, evaluating new technologies to enhance data engineering capabilities and self-service enablement ?Reads and follows the Underwriters Laboratories Code of Conduct and all physical and digital security practices. ?Performs other duties as directed. None of the foregoing information in any way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow other job-related instructions and perform other job-related duties as requested. Duties are not necessarily comprehensive and are subject to change at any time at the discretion of management. Consult the position qualifications for this job when using the position profile for hiring, transfer, or promotion decisions or when providing career guidance.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 - INTL Brazil","City":"Northbrook","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Engineering, Mathematics, Statistics or related field ? Deep Experience with data transformation, ETL/ELT and data management ? Deep Experience with writing and optimize complex SQL ? Experience with data modeling using dimensional modeling techniques (Star Schema) ? Experience in cloud infrastructure, computing, on Big Data platforms ? Understanding of structured, unstructured, semi-structured data ? Experience with data streaming, messaging, and event driven data architecture ? Knowledge in data governance and data quality frameworks ? Experience of working in an Agile environment ? Experience working with all NoSQL Databases e.g. Graph, Document, Column ? Knowledge of machine learning and artificial intelligence concepts ? Ability to articulate an idea with strong communication and presentation skills ? Work as part of a small team, sharing ideas and contributing to the strategic goals","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":28.0000,"SalaryLow":22.4000,"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 plays a senior role in the design, development, and maintenance of constructing and populating a data lakehouse. This position helps develop and improve processes and... techniques that ensure efficient data processing and high data quality to power analytics. The role applies technical expertise to design data architecture and data models and to build pipelines that populate the various data zones (bronze, silver, and gold) within a data lakehouse architecture. JOB RESPONSIBILITIES: ?Lead end-to-end technical delivery of complex data and analytics solutions, ensuring scalability, reliability, and alignment to business outcomes ? Design, build, and optimize data pipelines and analytical data models (batch and near real-time) to support enterprise reporting, BI, and advanced analytics use cases ?Assess source systems and data quality, defining transformation logic, data standards, and controls to meet business definitions and governance requirements ?Partner with business and technical stakeholders to translate requirements into technical designs, and contribute to estimation, planning, and delivery sequencing ?Drive data architecture and engineering best practices, including modular design, reusability, performance optimization, and cost efficiency ?Mentor and coach team members, elevating overall engineering capability through guidance, knowledge sharing, and hands-on support ?Perform code and design reviews, ensuring adherence to standards, maintainability, and optimal performance of data solutions ?Lead root cause analysis and issue resolution, implementing preventative measures and performance improvements across pipelines and platforms ?Continuously improve delivery processes, identifying opportunities to increase speed, quality, automation, and reliability ?Implement and enforce data governance practices, including lineage, documentation, data quality checks, and secure data handling ?Collaborate with platform and infrastructure teams to ensure optimal use of cloud data platforms (e.g., Snowflake, Azure), including performance tuning and cost management ?Support DevOps and CI/CD practices for data engineering, including automated testing, deployment pipelines, and environment management ?Ensure operational excellence, including monitoring, alerting, and SLAs for critical data pipelines and data products ?Contribute to platform strategy and tool selection, evaluating new technologies to enhance data engineering capabilities and self-service enablement ?Reads and follows the Underwriters Laboratories Code of Conduct and all physical and digital security practices. ?Performs other duties as directed. None of the foregoing information in any way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow other job-related instructions and perform other job-related duties as requested. Duties are not necessarily comprehensive and are subject to change at any time at the discretion of management. Consult the position qualifications for this job when using the position profile for hiring, transfer, or promotion decisions or when providing career guidance.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/.
Jul 28, 2026
Upper Dublin, PA
|
Data Warehousing
|
Perm
|
$135k - $145k (estimate)
{"JobID":557493,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-75.19,"Longitude":40.13,"Distance":null},"State":"Pennsylvania","Zip":"19034","ReferenceID":"HPA-b031402d-989a-46b3-a3f4-1f52b0bd628d","PostedDate":"\/Date(1785264308000)\/","Description":"Day-to-Day:?Serve as a senior technical lead within the Data Engineering organization?Oversee data intake processes and determine how new data sources are integrated into the enterprise environment?Design, build, and maintain Microsoft Fabric Lakehouse solutions?Develop and support PySpark-based data engineering solutions?Lead operational support and ongoing optimization of enterprise data platforms?Build and maintain CI/CD pipelines and deployment processes?Partner with business and technical teams to develop scalable data architectures?Support the full data lifecycle from ingestion through consumption by BI teams and external data consumers?Manage multiple concurrent initiatives while ensuring platform performance and reliability?Provide technical guidance and leadership across the engineering organization?Act as a hands-on contributor while helping drive team success and operational excellenceJob Description:Insight Global is seeking a Lead Data Engineer for a leading healthcare client in the Philadelphia area. This individual will serve as a lead member of the Data Engineering organization responsible for designing, building, and supporting enterprise data platforms within Microsoft Fabric and Azure environments. They will be one of three leads on the team and will balance leadership and hands-on development. The ideal candidate brings experience with PySpark, Fabric Lakehouse development, CI/CD pipeline support, and modern cloud-based data architectures. This role goes beyond traditional development work, it requires someone who can take ownership of data initiatives from intake through delivery, building the underlying infrastructure that enables data to move through its lifecycle and ultimately be consumed by BI teams, external partners, and enterprise stakeholders. The team is seeking a highly proactive, hands-on leader who can independently drive projects forward, support operations, mentor team members, and serve as a trusted technical resource. Candidates must possess strong communication skills, leadership potential, and the ability to step in immediately to support team operations.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":"Lead Data Engineer","City":"Upper Dublin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Must-Haves:?15+ years of experience in Data Engineering and a combination of technical leadership and hands-on engineering experience?Bachelor\u0027s degree in Computer Science, Information Technology, or related field?Some hands-on experience with Microsoft Fabric ?Strong Python experience, specifically PySpark for Fabric Lakehouse development?Experience supporting and maintaining CI/CD pipelines?Hands-on experience with Azure technologies, Azure DevOps, and enterprise data platforms?Experience designing, building, and supporting large-scale data infrastructure and data pipelines","Skills":"Plusses:?Healthcare or payer or academia industry experience?Epic experience or certifications (Clarity, Caboodle, Cogito)","Industry":"Data Warehousing","Country":"US","Division":"IGH","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":145000.0000,"SalaryLow":135000.0000,"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)\/"}
Day-to-Day:?Serve as a senior technical lead within the Data Engineering organization?Oversee data intake processes and determine how new data sources are integrated into the enterprise... environment?Design, build, and maintain Microsoft Fabric Lakehouse solutions?Develop and support PySpark-based data engineering solutions?Lead operational support and ongoing optimization of enterprise data platforms?Build and maintain CI/CD pipelines and deployment processes?Partner with business and technical teams to develop scalable data architectures?Support the full data lifecycle from ingestion through consumption by BI teams and external data consumers?Manage multiple concurrent initiatives while ensuring platform performance and reliability?Provide technical guidance and leadership across the engineering organization?Act as a hands-on contributor while helping drive team success and operational excellenceJob Description:Insight Global is seeking a Lead Data Engineer for a leading healthcare client in the Philadelphia area. This individual will serve as a lead member of the Data Engineering organization responsible for designing, building, and supporting enterprise data platforms within Microsoft Fabric and Azure environments. They will be one of three leads on the team and will balance leadership and hands-on development. The ideal candidate brings experience with PySpark, Fabric Lakehouse development, CI/CD pipeline support, and modern cloud-based data architectures. This role goes beyond traditional development work, it requires someone who can take ownership of data initiatives from intake through delivery, building the underlying infrastructure that enables data to move through its lifecycle and ultimately be consumed by BI teams, external partners, and enterprise stakeholders. The team is seeking a highly proactive, hands-on leader who can independently drive projects forward, support operations, mentor team members, and serve as a trusted technical resource. Candidates must possess strong communication skills, leadership potential, and the ability to step in immediately to support team operations.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/.
Jul 13, 2026
Austin, TX
|
Data Warehousing
|
Contract
|
$14 - $17 (hourly estimate)
{"JobID":551143,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-97.74,"Longitude":30.26,"Distance":null},"State":"Texas","Zip":"78729","ReferenceID":"AUS-1e831d26-7329-4083-b7c1-e06866e97728","PostedDate":"\/Date(1783950139000)\/","Description":"A customer of Insight Global is looking to hire a Data Engineer to come onboard! This individual will support a global data and architecture team focused on maintaining and optimizing a cloud-based data ecosystem. The role centers on production support, including managing Snowflake data pipelines, troubleshooting integrations, and ensuring consistent data transformations and reporting workflows. The ideal candidate will work closely with cross-functional teams and must be comfortable collaborating in a distributed environment with late evening IST overlap with US stakeholders. This person will also: ? Provide production support for data pipelines and workflows within Snowflake? Monitor and maintain data integrations using tools such as Workato? Troubleshoot data transformation issues and ensure data accuracy across systems? Write and maintain Python scripts for automation and pipeline support? Manage API integrations and resolve data connectivity issues? Optimize SQL queries and support reporting/dashboarding needs? Collaborate with US-based stakeholders during overlapping hours for issue resolution? Support CI/CD pipeline processes related to data engineering workflowsWe 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 -INT\u0027L India","City":"Austin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"* 5+ years of experience in data engineering* 3+ years of hands-on experience with Snowflake (data warehouse management, transformations)* Strong experience with SQL (advanced querying, optimization)* Experience building and maintaining data transformations (ETL/ELT pipelines)* Experience with Workato or similar integration platform* Proficiency in Python scripting for automation and pipeline support* Experience with CI/CD pipelines in a data engineering environment* Solid understanding of data warehouse concepts and API integration","Skills":"AI exposure and experience MCP experience PowerBI - reporting Exposure SOX jobs","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":17.0000,"SalaryLow":13.6000,"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)\/"}
A customer of Insight Global is looking to hire a Data Engineer to come onboard! This individual will support a global data and architecture team focused on maintaining and optimizing a cloud-based... data ecosystem. The role centers on production support, including managing Snowflake data pipelines, troubleshooting integrations, and ensuring consistent data transformations and reporting workflows. The ideal candidate will work closely with cross-functional teams and must be comfortable collaborating in a distributed environment with late evening IST overlap with US stakeholders. This person will also: ? Provide production support for data pipelines and workflows within Snowflake? Monitor and maintain data integrations using tools such as Workato? Troubleshoot data transformation issues and ensure data accuracy across systems? Write and maintain Python scripts for automation and pipeline support? Manage API integrations and resolve data connectivity issues? Optimize SQL queries and support reporting/dashboarding needs? Collaborate with US-based stakeholders during overlapping hours for issue resolution? Support CI/CD pipeline processes related to data engineering workflowsWe 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/.
Jun 03, 2026
Dallas, TX
|
Data Warehousing
|
Contract
|
$68 - $85 (hourly estimate)
{"JobID":537190,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-96.76,"Longitude":32.79,"Distance":null},"State":"Texas","Zip":"75201","ReferenceID":"DAL-985ff064-45fc-4357-b76d-f45428348bf4","PostedDate":"\/Date(1780494699000)\/","Description":"Insight Global is seeking a Sr. Data Engineer to partner with our client\u0027s Lead Data Architect in designing, scaling, and managing a modern enterprise analytical data warehouse. This role is ideal for a hands-on professional who can bridge business requirements with technical solutions, helping to build a cloud-native, high-performance data platform supporting BI, analytics, and emerging AI use cases. Key Responsibilities include: Data Architecture \u0026 Engineering-Design and implement dimensional data models (Kimball/star schema) to support enterprise reporting and analytics -Build and optimize ETL/ELT pipelines using modern cloud platforms (Azure Synapse, Microsoft Fabric, Data Factory, etc.) -Contribute to Lakehouse and medallion architectures (Bronze/Silver/Gold) for scalable data processing -Improve performance, scalability, and reliability across large datasets and analytic workloads-Support development of semantic data layers (Power BI / SSAS) and enterprise reporting frameworks Platform Governance \u0026 Integration-Apply and maintain data governance, lineage, and security standards (e.g., RBAC, PII protection, auditability) -Integrate data from multiple enterprise sources (databases, APIs, cloud storage, external systems) -Contribute to establishing architecture standards, reusable patterns, and best practicesCollaboration \u0026 Delivery-Partner with the Lead Data Architect and stakeholders to translate business needs into scalable solutions-Work closely with data engineers, BI developers, and analysts to deliver end-to-end analytics solutions-Participate in architecture design sessions, code reviews, and solution validation-Promote engineering best practices, documentation, and knowledge sharing within the teamWe 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":"Dallas","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-5+ years of experience in data engineering-Experience contributing to data design/architecture-Data Warehousing experience -Strong experience with data modeling (dimensional/Kimball) and enterprise data warehouse design -Python coding skills -Experience building and maintaining ETL/ELT pipelines and data integration workflows -Strong background in SQL development and data transformation tools-Experience with BI tools such as Power BI or SSAS -Strong ability to translate business requirements into scalable data solutions -Hands-on builder experience with an ownership mindset and attention to detail-Collaborative team player who thrives in a cross-functional, fast-paced environment","Skills":"-Experience with Microsoft Fabric or modern Lakehouse architectures -Familiarity with DevOps practices (CI/CD, version control) -Understanding of data governance tools and frameworks (e.g., lineage, cataloging)-Hands-on experience with Azure data ecosystem (Synapse, Data Factory, Data Lake, SQL) -Exposure to AI/ML-enabled data platforms or advanced analytics workflows","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":85.0000,"SalaryLow":68.0000,"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 seeking a Sr. Data Engineer to partner with our client's Lead Data Architect in designing, scaling, and managing a modern enterprise analytical data warehouse. This role is ideal... for a hands-on professional who can bridge business requirements with technical solutions, helping to build a cloud-native, high-performance data platform supporting BI, analytics, and emerging AI use cases. Key Responsibilities include: Data Architecture & Engineering-Design and implement dimensional data models (Kimball/star schema) to support enterprise reporting and analytics -Build and optimize ETL/ELT pipelines using modern cloud platforms (Azure Synapse, Microsoft Fabric, Data Factory, etc.) -Contribute to Lakehouse and medallion architectures (Bronze/Silver/Gold) for scalable data processing -Improve performance, scalability, and reliability across large datasets and analytic workloads-Support development of semantic data layers (Power BI / SSAS) and enterprise reporting frameworks Platform Governance & Integration-Apply and maintain data governance, lineage, and security standards (e.g., RBAC, PII protection, auditability) -Integrate data from multiple enterprise sources (databases, APIs, cloud storage, external systems) -Contribute to establishing architecture standards, reusable patterns, and best practicesCollaboration & Delivery-Partner with the Lead Data Architect and stakeholders to translate business needs into scalable solutions-Work closely with data engineers, BI developers, and analysts to deliver end-to-end analytics solutions-Participate in architecture design sessions, code reviews, and solution validation-Promote engineering best practices, documentation, and knowledge sharing within the teamWe 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/.
Aug 04, 2026
Lower Gwynedd, PA
|
Data Warehousing
|
Contract
|
$38 - $48 (hourly estimate)
{"JobID":560170,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-75.22,"Longitude":40.15,"Distance":null},"State":"Pennsylvania","Zip":"19002","ReferenceID":"KPD-6eadafa2-aa21-40cb-9920-8c63f25984cf","PostedDate":"\/Date(1785868207000)\/","Description":"Insight Global is currently seeking an AI Engineer for a large pharmaceutical client. This person will be joining a large team responsible for the build and maintenance of a large data catalogue solution. This person will be responsible for building ETL/data pipelines to ingest external datasets within the data catalogue including standardization of data formats. This person will also be responsible for experimenting and developing AI solutions supporting this work.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 Scientist/Engineer","City":"Lower Gwynedd","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-2+ years of experience in AI Engineering-Masters degree or above from accredited University-Python, SQL, AWS experience-Pharmaceutical R\u0026D project 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":48.0000,"SalaryLow":38.4000,"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 currently seeking an AI Engineer for a large pharmaceutical client. This person will be joining a large team responsible for the build and maintenance of a large data catalogue... solution. This person will be responsible for building ETL/data pipelines to ingest external datasets within the data catalogue including standardization of data formats. This person will also be responsible for experimenting and developing AI solutions supporting this work.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/.
Jul 16, 2026
Mountain View, CA
|
Data Warehousing
|
Contract
|
$66 - $82 (hourly estimate)
{"JobID":552993,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.05,"Longitude":37.41,"Distance":null},"State":"California","Zip":"94043","ReferenceID":"SEA-c3ae9ec1-5231-4c71-93b3-3e20ec68502f","PostedDate":"\/Date(1784227448000)\/","Description":"This role will be focused on supporting our client?s Brand Social ecosystem. The team operates as a centralized insights function, translating social, cultural, and consumer signals into actionable intelligence that informs marketing, product, and executive decision making. This position is focused on building and scaling AI-powered automation and data infrastructure that enables the team to move from manual reporting to real-time, scalable insight generation. The role blends media data expertise, data science, engineering, and applied AI to enhance how insights are produced, distributed, and operationalized across multiple product areas.Day-to-day ResponsibilitiesThis is a hands-on, execution-focused role embedded within the team?s data and insights workflows. The individual will partner closely with analysts, program leadership, and cross-functional stakeholders to improve how insights are generated, scaled, and delivered.Day-to-day, this individual will work directly within the data and tooling environment to operationalize insights, improve system efficiency, and ensure high-quality, scalable outputs. The role blends social listening expertise, data infrastructure, and applied AI?requiring someone who can both build and iterate quickly while translating complex data into meaningful, actionable insights for stakeholders. The ideal candidate will bring a strong data science mindset, applying analytical rigor, experimentation, and modeling techniques to better understand consumer behavior, cultural trends, and brand performance signals.Additionally, they will:?Build and maintain end-to-end social listening infrastructure, including query design, data ingestion, and processing across platforms and Google Cloud environments?Design and evaluate experiments, measurement frameworks, and data-driven approaches that improve decision making and enhance the effectiveness of the team?s insight products?Execute and evolve centralized monitoring frameworks that track brand, cultural, and consumer conversations across the client?s product ecosystem?Develop and manage automated insight generation workflows, including recurring reports, dashboards, and distributed insight outputs?Support the team?s transition to real-time and scalable reporting, reducing manual analysis and improving speed-to-insight?Create and enhance cultural intelligence dashboards, surfacing trends, sentiment shifts, and actionable insights for stakeholders?Apply AI/LLM tools (e.g., Gemini, Vertex AI) to accelerate summarization, signal detection, and narrative generation?Build and refine triaging and distribution systems to ensure insights are routed to the appropriate stakeholders in a timely, actionable way?Maintain data quality and reliability through continuous validation of queries, sources, and outputs?Partner with analysts and stakeholders to translate complex data into clear, executive-ready narratives that inform campaign, product, and brand decisions?Identify and implement opportunities to automate manual workflows, improving efficiency and scalability across the team?Contribute to ongoing experimentation with new tools, models, and data sources to evolve the team?s insight-generation capabilitiesWe 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":"Marketing Data Solutions Engineer","City":"Mountain View","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Proven experience in social listening, digital intelligence, or marketing analytics, with the ability to translate social analytics data into business and marketing insights?Hands-on experience working with large-scale data environments (e.g., BigQuery or similar) and strong SQL skills to extract and operationalize data?Experience building or supporting automated reporting or insight distribution systems?Familiarity with AI/ML tools and LLMs (e.g., Gemini, Vertex AI, or similar) and applying them in real-world workflows?Experience applying data science methodologies such as statistical analysis, predictive analytics, machine learning, classification, clustering, forecasting, or experimentation frameworks to solve business problems?Experience with automation tools/scripts (e.g., Apps Script, JavaScript) across Google Workspace or similar ecosystems?Strong understanding of data modeling, hypothesis testing, trend analysis, and quantitative research techniques?Strong ability to synthesize complex data into clear, concise narratives for non-technical stakeholders?Experience working within structured workflows or triaging systems for insight distribution?Highly self-sufficient, systems-oriented, and focused on scalability, efficiency, and continuous improvement","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":82.0000,"SalaryLow":65.6000,"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)\/"}
This role will be focused on supporting our client?s Brand Social ecosystem. The team operates as a centralized insights function, translating social, cultural, and consumer signals into actionable... intelligence that informs marketing, product, and executive decision making. This position is focused on building and scaling AI-powered automation and data infrastructure that enables the team to move from manual reporting to real-time, scalable insight generation. The role blends media data expertise, data science, engineering, and applied AI to enhance how insights are produced, distributed, and operationalized across multiple product areas.Day-to-day ResponsibilitiesThis is a hands-on, execution-focused role embedded within the team?s data and insights workflows. The individual will partner closely with analysts, program leadership, and cross-functional stakeholders to improve how insights are generated, scaled, and delivered.Day-to-day, this individual will work directly within the data and tooling environment to operationalize insights, improve system efficiency, and ensure high-quality, scalable outputs. The role blends social listening expertise, data infrastructure, and applied AI?requiring someone who can both build and iterate quickly while translating complex data into meaningful, actionable insights for stakeholders. The ideal candidate will bring a strong data science mindset, applying analytical rigor, experimentation, and modeling techniques to better understand consumer behavior, cultural trends, and brand performance signals.Additionally, they will:?Build and maintain end-to-end social listening infrastructure, including query design, data ingestion, and processing across platforms and Google Cloud environments?Design and evaluate experiments, measurement frameworks, and data-driven approaches that improve decision making and enhance the effectiveness of the team?s insight products?Execute and evolve centralized monitoring frameworks that track brand, cultural, and consumer conversations across the client?s product ecosystem?Develop and manage automated insight generation workflows, including recurring reports, dashboards, and distributed insight outputs?Support the team?s transition to real-time and scalable reporting, reducing manual analysis and improving speed-to-insight?Create and enhance cultural intelligence dashboards, surfacing trends, sentiment shifts, and actionable insights for stakeholders?Apply AI/LLM tools (e.g., Gemini, Vertex AI) to accelerate summarization, signal detection, and narrative generation?Build and refine triaging and distribution systems to ensure insights are routed to the appropriate stakeholders in a timely, actionable way?Maintain data quality and reliability through continuous validation of queries, sources, and outputs?Partner with analysts and stakeholders to translate complex data into clear, executive-ready narratives that inform campaign, product, and brand decisions?Identify and implement opportunities to automate manual workflows, improving efficiency and scalability across the team?Contribute to ongoing experimentation with new tools, models, and data sources to evolve the team?s insight-generation capabilitiesWe 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/.