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Charlie Health · 3 weeks ago

Lead Data Engineer, Revenue Engine

New York, NY

Full-time

Onsite

Senior Level, Lead/Staff

$175K/yr - $255K/yr

7+ years exp

Charlie Health is a rapidly growing organization focused on providing personalized, virtual care for mental health treatment. The Lead Data Engineer will be responsible for building ELT pipelines, developing custom DAGs, and transforming and warehousing data to enhance the patient financial experience and support revenue collection efforts.

Health Care

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

Qualification

SQLPythonDBTFiveTranSnowflakeDagsterData engineeringData visualizationHealthcare expertiseMentoring

Required

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

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