Lead Data Engineer
Charlie Health
π΅ $175k-$215k
πRemote - United States
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Job highlights
Summary
Join Charlie Health's data team as a Software Engineer and contribute to our mission of expanding access to mental healthcare. You will build and maintain data pipelines, develop data infrastructure, and create integrations using various technologies. This role requires extensive experience in software engineering and data engineering, proficiency in Python and SQL, and familiarity with modern data stacks. The ideal candidate thrives in fast-paced environments and has experience working with sensitive data. Charlie Health offers a competitive salary and benefits package, including a performance bonus. While a hybrid work schedule is expected for those within 45 minutes of an office, remote work may be considered.
Requirements
- Bachelorβs degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
- 7+ years experience as a software engineer, 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 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
Responsibilities
- Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake
- Own and guide the development of our data infrastructure
- Develop custom integrations using Dagster
- Configure reverse ETL integrations using Hightouch
- Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures
- Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge-sharing methods
- Ensure our data is always available by participating in our on-call rotation
Preferred Qualifications
- Expertise in healthcare
- Experience with our tools - FiveTran, Snowflake, DBT, Dagster, Hightouch, and Tableau
Benefits
- Comprehensive benefits to all full-time, exempt employees
- Total target base compensation between $175,000 and $215,000 per year
- Performance bonus
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