tebra
Senior Data Engineer
At a Glance
- Location
- Remote
- Work Regime
- remote
- Experience
- 5+ years
- Posted
- 2026-02-18T11:49:34-05:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Healthcare
Benefits & Perks
le pay and a robust benefits package, reflecting our commitment to your over
Requirements
in 3+ general areas of software development (e.g.,
Big Data Processing, Distributed Systems, Data Modeling
of hands-on experience in Data Engineering with a focus on supporting analytics or data science teams.
Advanced proficiency in Python and SQL.
You are comfortable writing production-grade code for data transformation and orchestration (not just scripts).
architect and write software
Responsibilities
Senior Data Engineer focused on AI/ML
, you'll architect, build, and operate the specialized data infrastructure that powers Tebra’s intelligent features.
technical subject matter expert in data systems
, partnering closely with Machine Learning Engineers to transform raw, messy healthcare data into high-quality training sets and real-time inference features.
role where you will own large data sub-systems, translating business requirements into software solutions that accelerate our ability to deploy AI.
You’ll tackle technical challenges head-on—from data versioning to feature serving—ensuring our ML models are fed by reliable, scalable, and performant pipelines.