{"schemaVersion":"jobsearcher.job.v1","id":"aa9f6868fc7e203988ecf1ec","url":"https://jobsearcher.com/jobs/aa9f6868fc7e203988ecf1ec","canonicalUrl":"https://jobsearcher.com/jobs/aa9f6868fc7e203988ecf1ec","title":"Data Engineer","description":"Data Engineer\r\nRemote Role\r\nCompensation: $85 - $100 per hour\r\nContract Length: 1 year with possibility of extension\r\nHours: 8am-5pm CST\r\nStart Date: November 16th, 2026\r\nABOUT THE ROLEOur client, is seeking a skilled Data Engineer to join a newly formed data team responsible for migrating a business-critical, finance-focused application from on-premises Oracle and IBM DataStage systems to Databricks on Azure. As one of the first members of this team, you will work directly with the subject matter experts who built the original application, as well as business users, to analyze, model, and migrate data, build ingestion pipelines, and implement medallion architecture transformations using Python and PySpark. This is a remote, contract role that offers high visibility, direct access to key stakeholders, and real ownership of end-to-end solutions. You will help shape the foundation of a growing data team within a modern Azure environment, supporting data governance and collaborating closely with business and technical partners.\r\nWHAT YOU'LL DOMigrate data from on-premises Oracle and IBM DataStage systems to Databricks on Azure\r\nDesign and build data ingestion pipelines and silver-layer transformations using Python and PySpark within a medallion (bronze/silver/gold) architecture\r\nWork directly with business users and subject matter experts to gather requirements, clarify needs, and translate them into effective data solutions\r\nAnalyze and model source data, determining which data elements are needed and how they relate\r\nMonitor, troubleshoot, and resolve issues in data pipelines, including failures, data quality, and performance problems\r\nSupport and implement data governance practices across the new cloud platform\r\nManage code using Git and participate in team-based workflows\r\nContribute to the foundation and growth of the new data team as additional full-time staff are hired\r\nOwn problems end-to-end, from initial stakeholder conversations through to production-ready pipelines\r\nWHAT YOU BRINGHands-on data engineering experience, including data modeling and integrating data from multiple sources\r\nStrong SQL skills\r\nProficiency in Python and PySpark\r\nExperience with Python-based orchestration tools\r\nGit version control\r\nDatabricks experience (strongly preferred)\r\nExperience across the full development lifecycle, from requirements through delivery, with ownership beyond just delivery team participation\r\nStrong communication skills and a track record of working directly with business stakeholders to understand and solve their problems\r\nNatural curiosity and willingness to dig into data and answer foundational questions\r\nExperience migrating data from on-prem platforms (Oracle, IBM DataStage, or similar ETL tools) to the cloud (nice to have)\r\nApache Airflow experience (nice to have)\r\nFamiliarity with financial data (claims, dollars, payments) or healthcare data (nice to have)\r\nData governance experience (nice to have)\r\nAzure data services experience (Azure Databricks, ADLS, Data Factory) (nice to have)\r\nFamiliarity with Power BI as a downstream reporting consumer (nice to have)\r\nWHAT'S IN IT FOR YOUHigh visibility and real ownership as an early member of a new data team\r\nDirect access to the subject matter experts who built the original system\r\nA long-term contract on a modern Databricks/Azure stack\r\nOpportunity to help shape the foundation and culture of a growing data team\r\nWork on a business-critical, finance-focused application in the healthcare sector\r\n#LI-CM1#J-18808-Ljbffr","company":"Medasource","rawCompany":"medasource","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-14T01:38:19.139Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data Engineer\r\nRemote Role\r\nCompensation: $85 - $100 per hour\r\nContract Length: 1 year with possibility of extension\r\nHours: 8am-5pm CST\r\nStart Date: November 16th, 2026\r\nABOUT THE ROLEOur client, is seeking a skilled Data Engineer to join a newly formed data team responsible for migrating a business-critical, finance-focused application from on-premises Oracle and IBM DataStage systems to Databricks on Azure. As one of the first members of this team, you will work directly with the subject matter experts who built the original application, as well as business users, to analyze, model, and migrate data, build ingestion pipelines, and implement medallion architecture transformations using Python and PySpark. This is a remote, contract role that offers high visibility, direct access to key stakeholders, and real ownership of end-to-end solutions. You will help shape the foundation of a growing data team within a modern Azure environment, supporting data governance and collaborating closely with business and technical partners.\r\nWHAT YOU'LL DOMigrate data from on-premises Oracle and IBM DataStage systems to Databricks on Azure\r\nDesign and build data ingestion pipelines and silver-layer transformations using Python and PySpark within a medallion (bronze/silver/gold) architecture\r\nWork directly with business users and subject matter experts to gather requirements, clarify needs, and translate them into effective data solutions\r\nAnalyze and model source data, determining which data elements are needed and how they relate\r\nMonitor, troubleshoot, and resolve issues in data pipelines, including failures, data quality, and performance problems\r\nSupport and implement data governance practices across the new cloud platform\r\nManage code using Git and participate in team-based workflows\r\nContribute to the foundation and growth of the new data team as additional full-time staff are hired\r\nOwn problems end-to-end, from initial stakeholder conversations through to production-ready pipelines\r\nWHAT YOU BRINGHands-on data engineering experience, including data modeling and integrating data from multiple sources\r\nStrong SQL skills\r\nProficiency in Python and PySpark\r\nExperience with Python-based orchestration tools\r\nGit version control\r\nDatabricks experience (strongly preferred)\r\nExperience across the full development lifecycle, from requirements through delivery, with ownership beyond just delivery team participation\r\nStrong communication skills and a track record of working directly with business stakeholders to understand and solve their problems\r\nNatural curiosity and willingness to dig into data and answer foundational questions\r\nExperience migrating data from on-prem platforms (Oracle, IBM DataStage, or similar ETL tools) to the cloud (nice to have)\r\nApache Airflow experience (nice to have)\r\nFamiliarity with financial data (claims, dollars, payments) or healthcare data (nice to have)\r\nData governance experience (nice to have)\r\nAzure data services experience (Azure Databricks, ADLS, Data Factory) (nice to have)\r\nFamiliarity with Power BI as a downstream reporting consumer (nice to have)\r\nWHAT'S IN IT FOR YOUHigh visibility and real ownership as an early member of a new data team\r\nDirect access to the subject matter experts who built the original system\r\nA long-term contract on a modern Databricks/Azure stack\r\nOpportunity to help shape the foundation and culture of a growing data team\r\nWork on a business-critical, finance-focused application in the healthcare sector\r\n#LI-CM1#J-18808-Ljbffr","datePosted":"2026-10-14T01:38:19.139Z","dateModified":"2026-10-14T01:38:19.139Z","hiringOrganization":{"@type":"Organization","name":"Medasource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aa9f6868fc7e203988ecf1ec"},"url":"https://jobsearcher.com/jobs/aa9f6868fc7e203988ecf1ec"}}