Senior Data Engineer

Overview

Senior Data Engineer for the Data Platform team, building and operating the data foundation that powers healthcare products.

What you'll do

• Design, build, and own data pipelines using Airflow, dbt, and Snowflake.
• Implement and run the canonical data model in production, aligned to the architecture direction.
• Add automated validation and data quality checks at defined pipeline stages.
• Instrument pipelines with observability features like freshness, lineage, and failure alerting.
• Enable self-service data access for consuming teams as governed outputs.
• Partner with teams on invoicing, analytics, and reporting to translate requirements into reliable data.
• Migrate and consolidate existing workloads into the unified framework.

What you'll need

• 5+ years of experience in data engineering building and owning production data pipelines.
• Strong Snowflake experience including streams and tasks.
• Production experience with dbt and Airflow, including structuring models and DAGs for maintainability.
• Strong Python programming expertise and deep SQL proficiency.
• Solid data modeling skills for shared schemas and consumer-specific extensions.
• Experience building testing and data quality validation into pipelines.
• Bachelor's degree in Software Engineering, Computer Science, or a related field.

Details

• Work mode: Remote (US).
• Full-time position with US base salary range provided.