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Senior, niche Databricks streaming role in non-metro with healthcare domain reduces applicant competition.
High because role requires healthcare payer domain, FHIR familiarity and HIPAA/PII compliance expertise.
High due to explicit 8+ years, mandatory Databricks/streaming and healthcare domain experience.
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Design and develop end-to-end Databricks data pipelines including real-time streaming ingestion from Kafka and other sources.
Lead cloud migration of data pipelines to Databricks and Snowflake ecosystems, and optimize pipelines to meet SLA-driven timelines.
Mentor team members, own delivery quality, and collaborate with distributed teams on scalable healthcare data solutions.
8+ years in Data Engineering with at least 3 years hands-on experience with Databricks.
Strong expertise in Databricks (Streaming & Batch), PySpark, Spark SQL, Spark Streaming, and Kafka.
Experience in Healthcare Payer domain with knowledge of claims, membership, and coverage data.
Experience with AWS services (S3, Airflow, Lambda), CI/CD, Git, and deployment automation.
Experienced technical lead with prior senior or Tech Lead roles in data engineering and streaming pipeline delivery.
Deep domain bias towards healthcare payer data standards, including understanding of FHIR and data privacy regulations like HIPAA.
Operationally focused on scalable, SLA-driven pipeline design and cloud migration in complex distributed team environments.