Salary
💰 $144,000 - $175,000 per year
Tech Stack
AirflowAWSCloudPythonTerraformTypeScript
About the role
- Architect, develop, and scale data infrastructure from initial ingestion to business intelligence
- Collaborate closely with product, engineering, and clinical operations to transform complex healthcare data into actionable insights
- Contribute directly to platform development as a hands-on senior technical engineer
- Influence architectural decisions and take ownership of critical projects
- Drive technical excellence and solidify engineering/data platform practices
- Balance long-term platform vision with delivering immediate value and operational needs
- Implement ELT, data quality, backfill strategies, and data modeling best practices
Requirements
- 3+ years of combined experience in data engineering, platform engineering, or software engineering
- Hands-on experience with data engineering tools such as Airflow, DBT, SQLMesh, Snowflake, MotherDuck (Modern Data Stack)
- Skilled in at least one programming language (preferred TypeScript or Python)
- Strong understanding of ELT, data lakes, data warehouses, backfill strategies, and data quality best practices
- Practical experience with data modeling
- Ability to make engineering tradeoffs and balance short-term needs with long-term vision
- Some experience working within a cloud environment (e.g., AWS or Google Cloud)
- Exposure to Infrastructure as Code (IaaC) tools like Terraform
- Nice to have: experience within a rapidly growing company
- Nice to have: track record of building data platforms from the ground up
- Nice to have: prior experience in Healthcare