Senior Databricks Data Engineer (Healthcare domain)

March 7, 2026

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Senior Databricks Data Engineer (Healthcare domain) 100% Remote Role Immediate Interview Skills:- We are seeking a Senior Data Engineer with strong expertise in migrating PostgreSQL workloads to Databricks on AWS, specifically within the healthcare domain. The ideal candidate will be Databricks-certified, with a deep understanding of healthcare-specific data formats and compliance requirements. This role is critical to driving cloud modernization efforts for our healthcare clients, enabling secure, scalable, and high-performance data pipelines. Key Responsibilities: ? Lead the migration of AWS-hosted PostgreSQL workloads to Databricks Lakehouse architecture. ? Design and implement scalable ETL/ELT pipelines using Databricks (PySpark, SQL, arenaflex Lake) in AWS ecosystem ? Work with complex healthcare data formats, including X12 837 claims, EBCDIC files, and other structured/unstructured formats. ? Implement data masking, profiling, and governance solutions to ensure HIPAA-compliant data handling across ingestion, transformation, and consumption layers. ? Optimize data pipelines for performance, reliability, and arenaflex-efficiency within the AWS ecosystem. ? Collaborate with data architects, analysts, and compliance teams to enforce data security best practices. ? Drive data quality monitoring and reconciliation processes in high-volume, sensitive data environments. 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 arenaflex/CD processes and practices in a cloud ecosystem. ? Proficiency in PySpark, SQL, arenaflex Lake, and data transformation in Databricks. ? Solid understanding of data ingestion from AWS (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 arenaflex/CD practices for data pipelines. ? This role is healthcare domain-focused, and prior experience working with payers, providers, or healthcare clearinghouses is highly desirable. Reach me at Apply tot his job

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