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Lead Data Engineer

Posted about 2 months agoViewed

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💎 Seniority level: Lead, 7+ years

📍 Location: United States

💸 Salary: 175000.0 - 215000.0 USD per year

🔍 Industry: Mental Health Care

🏢 Company: Charlie Health👥 501-1000💰 $850,000 Seed over 4 years agoMental Health Care

⏳ Experience: 7+ years

🪄 Skills: PythonSQLNumpySnowflakePandas

Requirements:
  • Bachelor’s 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, understanding CTEs, aggregation functions, window functions, partitioning, and clustering.
  • High proficiency in Python and experience with common data engineering libraries such as Pandas, Numpy, and Great Expectations.
  • Experience with a modern data stack and tools such as FiveTran, Snowflake, DBT, Dagster, Hightouch, and Tableau.
  • 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 is a plus.
Responsibilities:
  • Develop, release, and maintain high-quality data pipelines using Python, FiveTran, DBT, and Snowflake.
  • Own and guide the development of the data infrastructure.
  • Develop custom integrations using Dagster.
  • Configure reverse ETL integrations using Hightouch.
  • Identify bottlenecks and implement improvements to data engineering processes, tools, and procedures.
  • Promote collaboration and learning across teams through mentoring and knowledge sharing.
  • Participate in on-call rotation to ensure data availability.
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