Remote Data Engineer II: Scalable Pipelines

Brown University Health; Providence (RI); Remote; USD 100,000 - 165,000; Full time

Job summary

Brown University Health is seeking a Data Engineer II to design, build, and maintain scalable, resilient data systems that enable effective decision making across the health enterprise. You will lead complex ETL pipelines and mentor junior engineers.

This role requires collaboration with clinicians and operations, ensuring data quality, governance, and secure data movement while integrating on‑premise and cloud platforms to deliver high‑performance data products.

Qualifications

• Bachelor’s Degree in STEM-related field or equivalent.
• Epic Clarity Cogito certification preferred.
• Proficient in SQL, Python, and other data tools.
• Four years’ experience in data engineering with SQL, Python, and data tools.

Responsibilities

• Designs, builds, and maintains large-scale data processing systems.
• Works with data warehouses and lakes to reduce duplication.
• Develops automated data validation and mapping rules.
• Mentors junior engineers and collaborates across teams.
• Contributes to cloud migration and data infrastructure modernization.
• Maintains data documentation and a unified data catalog.

Skills

SQL

Python

Data tooling

Data modeling

Cloud platforms

Healthcare data

Education

Bachelor’s Degree in STEM-related field

Epic Clarity Cogito certification

Tools

ETL tools

Cloud data warehouse platforms

Job description

Brown University Health is seeking a Data Engineer II to design, build, and maintain scalable, resilient data systems that enable effective decision making across the health enterprise. You will lead complex ETL pipelines and mentor junior engineers.

This role requires collaboration with clinicians and operations, ensuring data quality, governance, and secure data movement while integrating on‑premise and cloud platforms to deliver high‑performance data products.