Senior Databricks Data Engineer – Data Architect, Provider, Patient & Enterprise Data
Superlanet
contract
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $70 - $85 per hour
Job Level
Senior
Tech Stack
CloudPySparkSparkSQL
About the role
- 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
- Based on experience
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
DatabricksSparkSQLdata modelingPySparkdata integrationdata qualitydata lineagedata performancecloud-based data engineering
Soft skills
communicationstakeholder interactioncollaborationbacklog prioritization