Staff Data Engineer: ELT Pipelines & Warehouse Reliability

Charlie Health, Inc.; New York (NY); Hybrid; USD 175,000 - 255,000; Full time

Benefits offered by this job

Stock options

Hybrid work model

Job summary

Charlie Health, Inc. is seeking a Staff Data Engineer to join our Analytics & Data Engineering team.

You will build and own major parts of our data infrastructure, ensuring timely, accurate, and secure data for reporting, experimentation, and decision‑making across the organization. You will work across a modern data stack, focusing on Snowflake schemas, ELT/streaming pipelines, and reliability, while mentoring teammates and contributing to architectural decisions.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience.
• 5+ years of experience in Data, with at least 4 years in a Data Engineering role.
• Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering.
• Strong proficiency in Python, including experience with common data engineering libraries.
• Hands‑on experience with a modern data stack.
• Demonstrated ability to take ownership of loosely‑defined problems, breaking them into well‑scoped tasks, driving them to completion, and communicating tradeoffs clearly.
• 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.

Responsibilities

• Build, release, and maintain high‑quality ELT & streaming pipelines with a strong emphasis on correctness, observability, and performance
• Orchestrate complex data workflows using Dagster/Airflow and DBT, ensuring reliable and well‑monitored execution and quality assessments
• Own meaningful areas of our data warehouse, Snowflake, designing well‑modeled, performant schemas, and maintaining clear documentation of data definitions and lineage
• Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers
• Contribute to architectural decisions and technical design discussions, bringing well‑reasoned, data‑driven recommendations to the team
• Support analytics delivery through Hex and AI Agents, collaborating with stakeholders to ensure data is accessible, governed, and actionable
• Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement
• Participate in our on‑call rotation to ensure data availability and pipeline health

Job description

Charlie Health, Inc. is seeking a Staff Data Engineer to join our Analytics & Data Engineering team.

You will build and own major parts of our data infrastructure, ensuring timely, accurate, and secure data for reporting, experimentation, and decision‑making across the organization. You will work across a modern data stack, focusing on Snowflake schemas, ELT/streaming pipelines, and reliability, while mentoring teammates and contributing to architectural decisions.