Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and sustain ingestion pipelines and Python services deployed on AWS (Lambda, ECS).

• Create and oversee dbt models within our Snowflake data warehouse, ensuring thorough tests and documentation.

• Assume operational accountability — engage in the on-call rotation, troubleshoot pipeline failures, and contribute to post-mortem analyses.

• Collaborate with our BI / Analytics Engineering team to convert their requirements into dependable data engineering tasks.

• Transition autonomously scheduled tasks and pipelines into Airflow DAGs as we standardize orchestration processes.

• Enhance our CI/CD pipelines (GitHub Actions) and uphold team standards.

• Guide newer team members and assess their work.

⛳️ Requirements

• At least 2 years of experience as a Data Engineer (or in a closely related role such as backend engineering with significant data responsibilities, analytics engineering, etc.).

• Proficient in Python — you are a programmer, not just someone who can write SQL. You can produce clear, testable Python code and are familiar with idiomatic patterns.

• Advanced knowledge of SQL — you have crafted complex queries for a cloud data warehouse, understand window functions, joins, and can write efficient SQL.

• A conceptual grasp of CI/CD pipelines — while you may not have built one yourself, you understand their function and significance.

• Experience with a cloud data warehouse (Snowflake, Redshift, BigQuery, etc.); Snowflake is preferred.

• Comfortable working in a cloud computing environment, ideally AWS.

• A bachelor’s degree in computer science or a related field is preferred but not mandatory.

🏝️ Benefits

• Comprehensive benefits package: medical, dental, vision, effective from day 1 of employment, 401K with matching contributions, generous PTO along with paid holidays, paid parental leave, and more!