{"schemaVersion":"jobsearcher.job.v1","id":"f6e9f2124b992f1758df074a","url":"https://jobsearcher.com/jobs/f6e9f2124b992f1758df074a","canonicalUrl":"https://jobsearcher.com/jobs/f6e9f2124b992f1758df074a","title":"Data Engineer","description":"Data Engineer\r\nChesterfield Office Hybrid or Remote\r\nPosition Overview\r\nLead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into actionable insights that drive revenue cycle optimization and clinical outcomes.\r\nWhy This Role Matters\r\nHealthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.\r\nKey Responsibilities\r\nDesign, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake\r\nDevelop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards\r\nWrite and optimize SQL queries for performance across large healthcare datasets\r\nImplement data governance, quality frameworks, and HIPAA compliance controls\r\nCollaborate with analytics, data science, and business teams to define data requirements\r\nMonitor and troubleshoot data pipeline health and performance\r\nDevelop Python or Scala code for complex transformations and data processing\r\nSupport Power BI and analytics teams with data modeling and performance optimization\r\nDocument data lineage, transformations, and technical architecture\r\nRequirements\r\n3+ years of professional data engineering or ETL/ELT development experience\r\nExpert-level SQL skills with proven optimization experience\r\nProficiency in Python, Scala, or similar data processing languages\r\nHands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)\r\nUnderstanding of healthcare data standards (HL7, FHIR, claims data structures)\r\nStrong grasp of data modeling, normalization, and schema design\r\nExperience with data versioning, CI/CD pipelines, and data quality frameworks\r\nPreferred Qualifications\r\nExperience with Microsoft Fabric or Azure Data Factory\r\nKnowledge of HIPAA compliance and healthcare data security\r\nBackground in healthcare, RCM, or claims processing\r\nExperience with dbt (data build tool) or equivalent transformation frameworks\r\nExposure to dimensional modeling and data warehousing best practices\r\nWhat Success Looks Like\r\nIn 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics\r\nIn 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components\r\nOngoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance\r\nJ-18808-Ljbffr","company":"Nimble","rawCompany":"nimble","city":"Wildwood","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-07-16T02:02:20.076Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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\nChesterfield Office Hybrid or Remote\r\nPosition Overview\r\nLead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into actionable insights that drive revenue cycle optimization and clinical outcomes.\r\nWhy This Role Matters\r\nHealthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.\r\nKey Responsibilities\r\nDesign, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake\r\nDevelop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards\r\nWrite and optimize SQL queries for performance across large healthcare datasets\r\nImplement data governance, quality frameworks, and HIPAA compliance controls\r\nCollaborate with analytics, data science, and business teams to define data requirements\r\nMonitor and troubleshoot data pipeline health and performance\r\nDevelop Python or Scala code for complex transformations and data processing\r\nSupport Power BI and analytics teams with data modeling and performance optimization\r\nDocument data lineage, transformations, and technical architecture\r\nRequirements\r\n3+ years of professional data engineering or ETL/ELT development experience\r\nExpert-level SQL skills with proven optimization experience\r\nProficiency in Python, Scala, or similar data processing languages\r\nHands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)\r\nUnderstanding of healthcare data standards (HL7, FHIR, claims data structures)\r\nStrong grasp of data modeling, normalization, and schema design\r\nExperience with data versioning, CI/CD pipelines, and data quality frameworks\r\nPreferred Qualifications\r\nExperience with Microsoft Fabric or Azure Data Factory\r\nKnowledge of HIPAA compliance and healthcare data security\r\nBackground in healthcare, RCM, or claims processing\r\nExperience with dbt (data build tool) or equivalent transformation frameworks\r\nExposure to dimensional modeling and data warehousing best practices\r\nWhat Success Looks Like\r\nIn 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics\r\nIn 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components\r\nOngoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T02:02:20.076Z","dateModified":"2026-07-16T02:02:20.076Z","hiringOrganization":{"@type":"Organization","name":"Nimble","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wildwood","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f6e9f2124b992f1758df074a"},"url":"https://jobsearcher.com/jobs/f6e9f2124b992f1758df074a"}}