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Mar 11, 2026

Cincinnati, OH

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Data Warehousing

|

Contract

|

$49 - $61 (hourly estimate)

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An employer is looking for an experienced Data Engineer for an on-site, contract opportunity in the Cincinnati, Ohio area. The client is a large bank and the Data Engineer III contract role will... support the Principal Data Engineer by developing, testing, and monitoring high quality ETL code for several time sensitive, enterprise level initiatives. The position requires strong technical expertise to deliver efficient, accurate, and scalable data solutions that follow established governance and coding standards. Core responsibilities include building and optimizing ETL pipelines using IBM DataStage, Snowflake, dbt, and MettleCI, with a focus on code quality, data accuracy, and operational reliability. The ideal candidate will be able to rapidly contribute to critical project milestones while maintaining strict adherence to best practices and governance processes.ESSENTIAL DUTIES AND RESPONSIBILITIES: ? Design, build, test, and maintain scalable data management systems and pipelines.? Develop high performance algorithms, predictive models, prototypes, and custom software components to support analytics and data processing needs.? Ensure all data systems adhere to business requirements, governance standards, and industry best practices.? Demonstrated experience with data pipeline testing, including: Unit testing for ETL/ELT components, Integration and regression testing, Data quality and validation frameworks, Automated testing within CI/CD workflows? Integrate new data management tools, engineering technologies, and automation capabilities into existing architectures.? Establish and optimize processes for data modeling, data mining, and data production workflows.? Research and identify new opportunities for leveraging existing data assets.? Utilize a variety of programming languages, integration tools, and platforms to connect systems and enable seamless data flow.? Collaborate closely with cross functional partners, including solution architects, IT teams, and data scientists, to achieve project objectives.? Recommend and implement improvements to enhance data quality, reliability, and performance.? Maintain and update disaster recovery procedures to ensure system resilience.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 08, 2026

Wilsonville, OR

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Data Warehousing

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Perm

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$85k - $105k (estimate)

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

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

Apr 14, 2026

Chicago, IL

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Data Warehousing

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Contract

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$18 - $22 (hourly estimate)

{"JobID":518658,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-87.68,"Longitude":41.83,"Distance":null},"State":"Illinois","Zip":"60601","ReferenceID":"CHI-1bf22879-2cf0-4434-8cdf-10578a0df856","PostedDate":"\/Date(1776187867000)\/","Description":"Grant Thornton has established a Data \u0026 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\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"REMOTE - India -Data Engineer","City":"Chicago","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)? 5+ years of overall experience in data engineering, including experience with: ? Data modeling? ETL/ELT? Data integration? Master data management/entity management? Data quality? Data warehousing? Analytics (prescriptive and predictive)? Business intelligence? Data science? Data governance? Strong hands-on experience with: ? SQL ? Python? Snowflake -Some exposure to data analysis or analytics use cases (working with analysts, supporting reporting)","Skills":"? DBT? Informatica Cloud (CIH, DIH, Data Quality, MDM)? Openflow ? Java and csharp ? SAP or Oracle HCM integration experience Experience in professional services, consulting, or managed services environments","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":22.0000,"SalaryLow":17.6000,"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)\/"}

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/.

Apr 30, 2026

Inver Grove Heights, MN

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Data Warehousing

|

Contract

|

$54 - $68 (hourly estimate)

{"JobID":525353,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-93.05,"Longitude":44.82,"Distance":null},"State":"Minnesota","Zip":"55077","ReferenceID":"MSP-e21414d7-7749-4803-8371-68b182e3bc56","PostedDate":"\/Date(1777586408000)\/","Description":"We are looking for a highly skilled Senior Data Engineer to help support a variety of projects that will range in scale and complexity within the Big Data Team. The ideal candidate will possess extensive experience in cloud-based data platforms, SQL, Python programming, dbt, orchestration/scheduling tools, and monitoring/observability tools. You will play a critical role in designing, developing, and supporting our data ingestion pipelines, ensuring seamless integration of data from the company\u0027s various sources to support robust analytics and business intelligence.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/.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":"Senior Data Engineer","City":"Inver Grove Heights","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 5+ years of experiene as a Data Engineer- Experience with Snowflake- Strong understanding of modern, cloud-based data architecture concepts and best practices, including Lakehouse architectures.- Experience in ELT/ETL tools, including AWS Lambda- Data pipeline engineering experience- Experience with Kafka- Experience with Terraform","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":68.0000,"SalaryLow":54.4000,"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)\/"}

We are looking for a highly skilled Senior Data Engineer to help support a variety of projects that will range in scale and complexity within the Big Data Team. The ideal candidate will possess... extensive experience in cloud-based data platforms, SQL, Python programming, dbt, orchestration/scheduling tools, and monitoring/observability tools. You will play a critical role in designing, developing, and supporting our data ingestion pipelines, ensuring seamless integration of data from the company's various sources to support robust analytics and business intelligence.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/.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 20, 2026

Atlanta, GA

|

Data Warehousing

|

Contract-to-perm

|

$10 - $12 (hourly estimate)

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

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

May 04, 2026

Norfolk, VA

|

Data Warehousing

|

Contract

|

$51 - $64 (hourly estimate)

{"JobID":526139,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-76.28,"Longitude":36.84,"Distance":null},"State":"Virginia","Zip":"23502","ReferenceID":"RIC-b382f84c-608f-4dc4-bb40-f3a864132f89","PostedDate":"\/Date(1777915323000)\/","Description":"-Define and implement data quality rules (completeness, accuracy, consistency, timeliness)-Develop and manage data contracts (schema, required fields, formats, constraints)-Embed data quality checks directly into pipelines using SQL and PySpark-Perform source-to-target validation during onboarding and migration-Identify, analyze, and resolve data quality issues across data layers-Build reusable data validation components and frameworks-Create data quality metrics, reports, and monitoring-Work closely with data engineers to ensure DQ is part of pipeline design, not post-processing-Support governance initiatives including metadata, tagging, and lineage-Pay rate between 50-65/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Quality Engineer","City":"Norfolk","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Strong SQL skills (joins, aggregations, window functions)-Basic working knowledge of PySpark / Databricks-Experience with data validation, profiling, and reconciliation-Understanding of ETL/ELT pipelines and data flow-Ability to debug data issues across:-source ? ingestion ? transformation ? output-Experience with data quality frameworks (Great Expectations, Deequ, or similar)-Exposure to data governance tools (Alation, Informatica, DataHub or similar)The right person will be and/or will have:-Someone who can write and implement data quality logic, not just define it-Thinks in data contracts and validation frameworks-Comfortable reading and contributing to pipeline code-Strong debugging mindset and attention to detail-Able to work across engineering and business teams","Skills":"-Understanding of metadata-driven or contract-based pipelines-Experience with file-based ingestion and incremental data loads","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":64.0000,"SalaryLow":51.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

-Define and implement data quality rules (completeness, accuracy, consistency, timeliness)-Develop and manage data contracts (schema, required fields, formats, constraints)-Embed data quality checks... directly into pipelines using SQL and PySpark-Perform source-to-target validation during onboarding and migration-Identify, analyze, and resolve data quality issues across data layers-Build reusable data validation components and frameworks-Create data quality metrics, reports, and monitoring-Work closely with data engineers to ensure DQ is part of pipeline design, not post-processing-Support governance initiatives including metadata, tagging, and lineage-Pay rate between 50-65/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 21, 2026

Charlotte, NC

|

Data Warehousing

|

Contract

|

$48 - $60 (hourly estimate)

{"JobID":532764,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28203","ReferenceID":"CLT-55b9e490-5690-461d-bc36-13daf7e6ec90","PostedDate":"\/Date(1779325388000)\/","Description":"Insight Global is seeking an experienced AWS Data Engineer to support a large-scale initiative for one of our financial services clients. This role will focus on the design, development, and optimization of robust, scalable data pipelines and APIs within a modern cloud-based ecosystem.The ideal candidate brings a strong foundation in AWS, Python, and distributed data processing, and has real-world experience supporting data ingestion, transformation, and consumption across enterprise systems. This position is well-suited for someone who thrives in technically complex environments, enjoys collaborating across teams, and can clearly articulate technical solutions based on hands-on project experience.-Design, develop, and maintain scalable data pipelines leveraging AWS services, including Kafka, Lambda, and Glue-Build and optimize data processing workflows using Python and PySpark to support large-scale data transformation and analytics-Develop and maintain APIs (preferably using FastAPI) to expose data to downstream consumers and applications-Support and enhance data warehouse and data lake architectures, ensuring high standards for data quality, reliability, and performance-Partner with cross-functional teams?including engineering, analytics, and business stakeholders?to gather requirements and translate them into scalable data solutions-Participate in code reviews, contribute to engineering best practices, and support continuous improvement initiatives 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\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AWS Data Engineer","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"7+ years of professional experience in Data Engineering, with a strong focus on scalable and production-grade data solutions3+ years of hands-on experience working within an AWS cloud environmentDeep technical expertise and hands-on experience with core AWS services, including AWS Glue, DynamoDB, and AWS LambdaProven experience working with Apache Kafka for real-time data streaming and event-driven architecturesStrong background in data domains, data modeling, and analytical problem-solvingDemonstrated experience designing and implementing end-to-end data pipelines, from ingestion through transformation and delivery","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking an experienced AWS Data Engineer to support a large-scale initiative for one of our financial services clients. This role will focus on the design, development, and... optimization of robust, scalable data pipelines and APIs within a modern cloud-based ecosystem.The ideal candidate brings a strong foundation in AWS, Python, and distributed data processing, and has real-world experience supporting data ingestion, transformation, and consumption across enterprise systems. This position is well-suited for someone who thrives in technically complex environments, enjoys collaborating across teams, and can clearly articulate technical solutions based on hands-on project experience.-Design, develop, and maintain scalable data pipelines leveraging AWS services, including Kafka, Lambda, and Glue-Build and optimize data processing workflows using Python and PySpark to support large-scale data transformation and analytics-Develop and maintain APIs (preferably using FastAPI) to expose data to downstream consumers and applications-Support and enhance data warehouse and data lake architectures, ensuring high standards for data quality, reliability, and performance-Partner with cross-functional teams?including engineering, analytics, and business stakeholders?to gather requirements and translate them into scalable data solutions-Participate in code reviews, contribute to engineering best practices, and support continuous improvement initiatives 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/.

Jun 18, 2026

Bellevue, WA

|

Computer Engineering

|

Contract

|

$43 - $54 (hourly estimate)

{"JobID":543211,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.14,"Longitude":47.55,"Distance":null},"State":"Washington","Zip":"98006","ReferenceID":"SEA-349a65b5-6421-45a2-8f5f-522a7ec17e6c","PostedDate":"\/Date(1781808154000)\/","Description":"The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required.Job Responsibilities:? Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake? Ingest, transform, and curate data from multiple sources? Optimize solutions for performance, reliability, scalability, and cost? Implement data quality checks, monitoring, and observability for production pipelines? Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence? Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights? Collaborate with analytics and business teams to deliver trusted datasets? Mentor other team members in their efforts to build data engineering skillsets? Assist team management in defining projects, including helping estimate, plan and scope work? Prepare and contribute to presentations required by managementWe 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 / Data Analyst","City":"Bellevue","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 4+ years developing cloud solutions as a Data Engineer? Bachelor?s Degree in Computer Science, Computer Engineering, or a related field? Clear and concise verbal and written communication; ability to communicate technical concepts to non-technical people? Proven experience developing solutions with:? AWS (Redshift, S3, Step Functions, Eventbridge, CloudWatch)? Databricks (Spark, Delta Lake, Apache Iceberg, Unity Catalog)? Snowflake? Strong proficiency in SQL to write and optimize performance of large-scale analytics queries? Strong proficiency in Python for custom data processing? Familiarity with CI/CD, version control (Git), and automated testing for data pipelines? Familiarity with Infrastructure as Code (Terraform, or similar)? Solid understanding of data warehousing and dimensional modeling? Ability to write detailed and comprehensive testing documentation. Strong focus on code quality with the ability to design and execute thorough tests.? Ability to manage work across multiple projects, good organizational skills? Ability to quickly learn new technologies and understand data flows and business concepts.? Excellent problem-solving skills, attention to detail, and the ability to work independently.? Proven track record of proactively identifying, performing root cause analysis on, and mitigating production data issues.? Ability to conduct effective code reviews.? Ability to interview without use of AI tools","Skills":"? Hands-on experience integrating AI tools/solutions into data workflows to improve efficiency, automation, or developer productivity","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":54.0000,"SalaryLow":43.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while... ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required.Job Responsibilities:? Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake? Ingest, transform, and curate data from multiple sources? Optimize solutions for performance, reliability, scalability, and cost? Implement data quality checks, monitoring, and observability for production pipelines? Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence? Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights? Collaborate with analytics and business teams to deliver trusted datasets? Mentor other team members in their efforts to build data engineering skillsets? Assist team management in defining projects, including helping estimate, plan and scope work? Prepare and contribute to presentations required by managementWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 08, 2026

Irvine, CA

|

Data Warehousing

|

Contract,Perm Possible

|

$73 - $91 (hourly estimate)

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

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

Mar 26, 2026

Hunter Mill, VA

|

Data Warehousing

|

Contract-to-perm

|

$71 - $89 (hourly estimate)

{"JobID":511634,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-77.34,"Longitude":38.95,"Distance":null},"State":"Virginia","Zip":"20190","ReferenceID":"DC0-26b00ebc-b09c-447a-a6c6-d12ac973fc8c","PostedDate":"\/Date(1774552109000)\/","Description":"Insight Global is looking for an experienced Data Engineer to support us and a DoW customer on a mission critical project in Reston, Va. This individual will provide support to a series of mission critical kill-chain applications being developed and used for current US offensive and defense functions. This individual will be responsible for developing and maintaining healthy ETL (extract, transform, and load) processes for our data pipelines, and ensure healthy data streams for the applications. They will also play a part in designing additional data streaming infrastructure and ensuring smooth processing for cloud environments as we prepare to migrate. Hourly: 77-85/hr/hrSalary: 160,000-184,000We 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 (TSSCI)","City":"Hunter Mill","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Bachelors degree in STEM or related field -5+ years of related experience -Experience creating and/or maintaining ETL pipelines-Experience with backend development languages such as Python, Java, or cplusplus -Experience with the Apache suite (NiFi, Spark, Kafka) or similar data streaming tools (RabbitMQ)","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":89.0000,"SalaryLow":71.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for an experienced Data Engineer to support us and a DoW customer on a mission critical project in Reston, Va. This individual will provide support to a series of mission... critical kill-chain applications being developed and used for current US offensive and defense functions. This individual will be responsible for developing and maintaining healthy ETL (extract, transform, and load) processes for our data pipelines, and ensure healthy data streams for the applications. They will also play a part in designing additional data streaming infrastructure and ensuring smooth processing for cloud environments as we prepare to migrate. Hourly: 77-85/hr/hrSalary: 160,000-184,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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