Design, develop, and maintain data engineering solutions for healthcare data on AWS and Databricks platforms. Migrate PostgreSQL workloads to modern lakehouse platforms. Work with healthcare data and regulatory formats.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
100% Remote
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Must-Have Qualifications:
- 8+ years of hands-on data engineering experience with strong focus on AWS + Databricks environments.
- Proven track record of migrating PostgreSQL workloads from AWS to modern lakehouse platforms.
- Databricks Certified Data Engineer (Associate or Professional).
- Experience with healthcare data and regulatory formats including X12 837, HL7, EBCDIC files, etc.
- Deep expertise in data masking, governance frameworks, and working in HIPAA-regulated environments.
- Familiarity and working knowledge in adhering to CI/CD processes and practices in a cloud ecosystem.
- Proficiency in PySpark, SQL, Delta Lake, and data transformation in Databricks.
- Solid understanding of data ingestion from AWS (S3, Glue, Lambda) into Databricks.
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- Familiarity with FHIR, X12 837, HL7, or other clinical data standards.
- Experience with Unity Catalog and Lakehouse governance frameworks.
- Knowledge of Agile methodologies and CI/CD practices for data pipelines.
- This role is healthcare domain-focused, and prior experience working with payers, providers, or healthcare clearinghouses is highly desirable.
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