Data Engineer

About the Role

We’re looking for a skilled Data Engineer to take ownership of our data infrastructure, helping us build scalable and reliable data products that power decision-making across the organization. This role is critical in shaping how we collect, process, and expose data to internal teams and external customers. You’ll have end-to-end responsibility for our data warehouse and pipelines, and will work closely with engineering, product, clinical, and commercial teams to deliver impactful insights and capabilities.

Key Responsibilities

• Own and evolve our data warehouse, ensuring it remains scalable, secure, and fit for purpose
• Design, build, and maintain robust ETL/ELT pipelines using Apache Airflow
• Develop and manage BigQuery schemas, tables, and views for optimized analytics and reporting
• Write performant and maintainable SQL and Python code to support data transformations
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products
• Implement data quality checks, lineage tracking, and observability across pipelines
• Contribute to defining and evolving data modeling best practices (e.g., star/snowflake schemas)
• Support internal self-serve analytics and external data integrations as needed

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
• Master’s degree preferred but not required
• 5+ years of experience in data engineering or a similar role
• Strong hands-on experience with Apache Airflow, BigQuery, SQL, and Python
• Solid understanding of modern data warehousing, data modeling, and pipeline orchestration
• Familiarity with cloud platforms (preferably GCP) and version control (e.g., Git)
• Experience working in healthcare environments and handling PHI in compliance with HIPAA regulations
• Proven ability to work independently, own end-to-end systems, and collaborate with stakeholders
• Attention to detail, with a mindset for automation, maintainability, and performance
• Nice to have: Experience with dbt, Metabase, event-driven architectures, Kubernetes, Terraform, API design, or GraphQL