
This is a remote position.
Superlanet is seeking a Senior Data Engineer or Architect to support our healthcare client in Northern California. This role supports provider, patient, and other enterprise data domains not strictly tied to marketing or finance. The engineer will help stabilize and expand the Databricks platform while supporting migration from Health Catalyst and enabling new analytics use cases.
This role requires flexibility, strong communication, and cross-domain execution.
Key Responsibilities
Design and build Databricks pipelines for provider, patient, and enterprise data
Support migration of existing Health Catalyst workloads
Bridge Snowflake and Databricks environments
Work closely with clinical, operational, and analytics stakeholders
Ensure data quality, lineage, and performance
Participate in backlog prioritization and execution
5+ years of data engineering or data architecture experience
Proficiency with Databricks, Spark, and cloud-based data engineering platforms
Strong SQL and data modeling experience
Hands-on, production experience building and supporting Databricks pipelines (PySpark / Spark)
Demonstrated ability to support data integration and reporting in enterprise environments
Experience bridging Snowflake and Databricks environments
Healthcare industry experience
Strong communication skills with the ability to interact directly with business and technical stakeholders
Preferred Qualifications
EHR/EMR-derived data experience
Health Catalyst exposure
HIPAA-compliant data handling experience