Sr. Python Data Engineer

Data Engineer (Python / AWS)

Location:

Remote (Northeast / Greater Boston area preferred)

Type:

Full-TimeLevel:

Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You'll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.

This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We're not looking for someone who is aiming to move immediately into architecture or leadership.

This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site.

What You'll DoBuild and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.

Develop Python‑based data processing workflows deployed on AWS cloud services.

Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.

Help modernize existing workflows and assist in the gradual migration away from a legacy data system.

Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.

Troubleshoot pipeline issues, optimize performance, and improve overall system stability.

Contribute to best practices around code quality, testing, documentation, and data governance.