Databricks Analytics Engineer

Summary

The Databricks Analytics Engineer designs, develops, and supports enterprise data pipelines, analytics datasets, and reporting solutions that enable business insights and operational decision-making. This role serves as a technical expert in Databricks, partnering with data, analytics, and reporting teams to deliver scalable, high-quality data solutions supporting healthcare operations and client programs.

What we're looking for

• 5+ years of experience developing and supporting Databricks solutions utilizing Spark, SQL, and modern data engineering practices.
• Experience designing and maintaining data models, transformations, analytics datasets, and production reporting environments within cloud-based platforms.
• Experience supporting healthcare, pharmacy, payer, PBM, PBA, Medicaid, or state healthcare analytics programs.
• Strong knowledge of Databricks, Spark, SQL, ETL/ELT processes, and data quality practices.
• Understanding of Power BI reporting, semantic models, enterprise BI integrations, and governed analytics platforms.
• Strong analytical, communication, problem-solving, and collaboration skills, with familiarity with DevOps, CI/CD, and automated deployment methodologies.

What you should expect in this role

• The deadline to submit applications for this posting is 7/30/2026
• Primarily remote work environment, aligned to business and operational needs.
• Occasional travel may be required, up to 10%, based on project or client needs.
• Video cameras must be used during all interviews, as well as during the initial week of orientation if hired.

Pay Range

The pay range for this position is [[salaryMin]] - [[salaryMid]] per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors.