Job Description:
• 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.
Requirements:
• 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.
Benefits:
• Pay rate based on experience.
• Superlanet is an Equal Opportunity Employer.