Senior/Staff Data Engineer

charliehealth; USA; Remote; USD 175.000 - 255.000; Vollzeit

Benefits dieser Stelle

Stock options

Full-time employee benefits

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Python

Data engineering

Analytical thinking

Communication

Ausbildung

Technical degree or equivalent

Tools

Airflow

Dagster

dbt

Snowflake

Jobbeschreibung

Role overview

Own and improve data infrastructure that turns operational data into trusted insights for reporting, experimentation, and organizational decisions. This senior or staff-level role combines hands-on pipeline and warehouse engineering with technical guidance, cross-functional support, and a focus on reliability, performance, and governed access to data.

Responsibilities

• Build and maintain ELT and streaming pipelines, emphasizing correctness, observability, and performance.


• Orchestrate and monitor data workflows with tools such as 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.

Requirements

• 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.

Nice to have

• Healthcare experience, Airflow migrations, Kafka Streams, or use of AI development tools.

Benefits and work setup

• Target base salary is $175,000-$255,000 annually, with the final amount based on factors such as experience, expertise, and level. Additional compensation may include stock options and benefits for full-time employees.