Senior Data Engineer (Databricks)

Location: Remote within the United States

Rate: $60–70 per hour

Company

Healthcare technology product company building software for hospitals and medical device suppliers, with a platform for sourcing, tracking, and paying for products used in surgical procedures.

What you will do

• Design and maintain a star-schema warehouse and lakehouse in Databricks.
• Build and scale dbt pipelines, including models, tests, and source management.
• Develop a semantic layer for BI and AI-driven analytics.
• Tune pipeline performance and manage compute costs.
• Own CI/CD for the data platform, including automated data-quality and dashboard validation across development, staging, and production.
• Integrate data from internal services and customer systems on AWS while partnering with product, operations, and leadership to deliver dependable data products.

Requirements

• 5+ years of data engineering experience.
• Strong hands-on experience with Databricks, Delta Lake, Spark, SQL, and Unity Catalog or similar tools.
• Production dbt experience at scale, plus advanced SQL and Python.
• Experience with dimensional modeling, star-schema warehouse design, AWS data services, CI/CD, and data-pipeline testing.
• Clear communication skills and the ability to own work in a startup setting.
• Must be located in the United States.

Nice to have

• Experience with Looker or similar BI and semantic-layer tools.
• Exposure to AI/LLM-driven analytics or natural-language querying.
• Background in healthcare, medtech, supply chain, or B2B SaaS.
• Familiarity with HIPAA and healthcare data security.

Culture & Benefits

• 12-month contract with significant autonomy and visibility.
• Opportunity to take greenfield ownership of a modern data stack.
• Inclusive application and interview process with accessibility adjustments available.
• Work with product, operations, and leadership in a growing team.