Charlie Health aims to connect people with life-saving behavioral health treatment by expanding access to meaningful care and driving better outcomes. The Revenue Engine team is focused on improving revenue collection, financial reporting, and the patient financial experience through data engineering and integration.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
- 7+ years experience in engineering, with at least 5 years of experience in a data engineering role
- Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries
- High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations
- Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
- Experience with data exploration, profiling, governance, visualization, and activation
- Expertise in healthcare and/or revenue cycle management is a plus
Responsibilities
- Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake.
- Own and guide the development of our data infrastructure.
- Orchestrate complex data workflows using Dagster.
- Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures.
- Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods.
- Ensure our data is always available by participating in our on-call rotation.
Other
- You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.
- Bachelor’s degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
- 7+ years experience in engineering, with at least 5 years of experience in a data engineering role
- Experience working with sensitive data in a regulated environment
- Proven ability to thrive in an ambiguous and rapidly changing environment
