Senior Data Engineer: ELT Pipelines, Snowflake & Data Quality

charliehealth; United States; Remote; USD 175,000 - 255,000; Full time

Benefits offered by this job

Stock options

Full-time employee benefits

Job summary

Charlie Health is seeking a senior-level data engineering lead to own and improve our data infrastructure, transforming operational data into trusted insights for reporting, experimentation, and strategic decisions.

You will build scalable data pipelines, oversee workflows with Dagster or Airflow and dbt, and maintain Snowflake warehouse areas with clear lineage. The role emphasizes reliability, performance, and governance while mentoring teammates and supporting on-call pipeline health.

Qualifications

• A technical degree or equivalent practical experience.
• At least five years in data, including four or more years in data engineering.
• Strong analytical SQL skills, including CTEs, window functions, aggregation, and performance tuning.
• Proficiency in Python and hands-on experience with a modern data stack.
• Experience handling sensitive data in a regulated setting.
• Ability to take loosely defined problems through to completion and communicate tradeoffs clearly.
• Ability to commute within 75 minutes of the New York City office and work onsite four days per week.

Responsibilities

• Build and maintain ELT and streaming pipelines, emphasizing correctness, observability, and performance.
• Orchestrate and monitor data workflows with Dagster or Airflow and dbt, including data quality checks.
• Design and maintain well-modeled Snowflake warehouse areas, with clear definitions and lineage documentation.
• Investigate urgent data issues, prevent downstream disruptions, and address performance bottlenecks.
• Contribute to architecture and design decisions, and help stakeholders use data through analytics tools and AI agents.
• Mentor teammates, document practices, share learnings, and participate in on-call support for pipeline health.

Skills

SQL

Python

Data engineering

Analytical thinking

Communication

Education

Technical degree or equivalent

Tools

Airflow

Dagster

dbt

Snowflake

Job description

Charlie Health is seeking a senior-level data engineering lead to own and improve our data infrastructure, transforming operational data into trusted insights for reporting, experimentation, and strategic decisions.

You will build scalable data pipelines, oversee workflows with Dagster or Airflow and dbt, and maintain Snowflake warehouse areas with clear lineage. The role emphasizes reliability, performance, and governance while mentoring teammates and supporting on-call pipeline health.