Senior Data Engineer

Job Summary

Owning and evolving the backbone of the data platform, the remote Senior Data Engineer will architect, build, and maintain data models and pipelines to ensure trustworthy and accessible data for operations and analytics.

Key responsibilities

• Architect, build, and maintain data models, data pipelines, and data access layers in collaboration with the data platform team
• Own the end-to-end lifecycle of data pipelines to support key business operations and ensure timely, accurate data delivery
• Implement data quality and governance practices to ensure data is trustworthy and usable for all stakeholders

Required qualifications

• Bachelor's degree in computer science, engineering, or a related field
• 4+ years of professional experience in data engineering and software architecture, preferably in healthcare services
• Strong programming skills in Python, Pyspark, or similar, with experience in building and scaling data pipelines
• Experience designing and optimizing data models, warehouses, and/or lakehouses
• Familiarity with modern data platforms and cloud ecosystems such as AWS, GCP, or Azure