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Senior Data Engineer

Location: Remote
Compensation: Hourly
Reviewed: Mon, Aug 17, 2026
This job expires in: 29 days

Job Summary

Working remotely in a contract-to-hire capacity, the Senior Data Engineer will design, build, and maintain scalable data pipelines and reusable data assets for a Fortune 50 healthcare insurance organization, focusing on advanced analytics and AI initiatives.

Key responsibilities
  • Design and maintain scalable batch and streaming data pipelines using modern distributed data technologies
  • Develop production data solutions utilizing SQL, Python, and PySpark while optimizing existing data pipelines
  • Collaborate with cross-functional teams to deliver reliable healthcare data solutions and support AI-enabling data assets
Required qualifications
  • Senior-level experience in designing and supporting production data pipelines in a modern distributed data environment
  • Strong production experience with Databricks Data Engineering, Spark, or the Hadoop framework
  • Proficiency in SQL and practical experience with Python and/or PySpark for data engineering tasks
  • Hands-on experience with DevOps, CI/CD pipelines, and Git-based workflows
  • Familiarity with ETL/ELT processes, performance tuning, and data-quality validation

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