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Remote, mid-level data engineer role with generalist tooling increases applicant competition.
Healthcare HIPAA requirement creates strong domain bias despite transferable data engineering skills.
Explicit 5+ years, mandatory Dagster/DBT/AWS skills and HIPAA compliance raise filtering strictness.
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Design, build, and maintain scalable ETL/ELT data pipelines supporting Denials AI workflows using Python, Dagster, DBT, and AWS services.
Ensure data reliability, HIPAA compliance for PHI, and optimize data models with PostgreSQL and SQL query tuning.
Monitor pipeline performance, troubleshoot incidents, enforce data governance, and mentor junior data engineers.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
5+ years of hands-on experience building and operating production-grade data pipelines.
Proficiency with ETL/ELT tools: Dagster, DBT, and AWS data services (Athena, Glue, SQS).
Experience with HIPAA compliance and healthcare data standards is mandatory.
Experienced in AWS data ecosystem including Athena, Glue, SQS, CloudWatch, and infrastructure-as-code for automation.
Comfortable working flexible US night shift hours in a remote setup supporting critical data engineering functions.
Demonstrates ability to lead small technical efforts, conduct code reviews, and mentor junior engineers.