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Niche Databricks/streaming requirement and seniority limit applicant pool.
Strong healthcare payer requirement and HIPAA/data governance expectations increase industry specificity.
Explicit 8+ years, 3+ Databricks years, healthcare domain and tech stack make filters stringent.
Design, develop, and optimize end-to-end data pipelines using Databricks including real-time streaming ingestion from Kafka.
Implement layered data architectures (Bronze, Silver, Gold) supporting data transformation, validation, enrichment, and reporting for healthcare datasets.
Lead and mentor team members, take ownership of modules independently, and support cloud migration and CI/CD pipeline integration.
8+ years of experience in Data Engineering with at least 3 years hands-on experience in Databricks.
Strong expertise in PySpark, Apache Spark (batch and streaming), Spark SQL, and Kafka streaming.
Experience working with AWS components such as S3, Airflow, and Lambda.
Domain experience in Healthcare Payer including Claims, Membership, Coverage; understanding of healthcare data standards like FHIR, and data privacy regulations such as PII/HIPAA.
Proven leadership capabilities demonstrated by prior Tech Lead or Senior roles driving design and delivery in distributed teams.
Strong technical skillset focused on scalable real-time streaming solutions and cloud migration projects.
Experienced in implementing data quality, deduplication, and governance in healthcare data environments.