Data Engineer

Must-Have Qualifications:
· 10+ 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.
· DatabricksCertified 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, DeltaLake, and data transformation in Databricks.
· Solid understanding of dataingestion from AWS (hashtag#S3, Glue, Lambda) into Databricks.
Preferred Skills:
· 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.