Lead Data Engineer, Revenue Engine

Charlie Health•New York, NY

5d•$175,000 - $255,000•Hybrid

About The Position

The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

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
Proven ability to thrive in an ambiguous and rapidly changing environment
Experience working with sensitive data in a regulated environment
Expertise in healthcare and/or revenue cycle management is a plus
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.

Nice To Haves

Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
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. Everyone on our team shares responsibility for continuously improving how we work.
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.