Turn real-world healthcare data into intelligence and evidence with real-time data from 130M+ patients across US health systems.
About the role
In this position, you will be designing and implementing data processing pipeline, building large scale data processing platforms, and solving complex distributed data issues. This opportunity requires creative problem solving within the guidelines permitted by law as well as implementing and supporting systems capable of processing healthcare data at unprecedented scale.
What they're looking for
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related field (advanced degree a plus)
- 3+ years of professional software engineering experience, including:
- Writing production-quality, efficient, multi-threaded code that runs reliably in cloud environments
- Reviewing data specifications and handling large-scale data storage and distribution using specialized protocols
- Debugging and resolving complex production issues in distributed systems
- Proven experience with cloud-native architectures and DevOps practices (preferably Azure, though AWS/GCP experience is relevant)
More about this role
Software Engineer - Data Processing
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values .
This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid
In this position, you will be designing and implementing data processing pipeline, building large scale data processing platforms, and solving complex distributed data issues. This opportunity requires creative problem solving within the guidelines permitted by law as well as implementing and supporting systems capable of processing healthcare data at unprecedented scale.
- Build large scale distributed systems, and data pipeline and ETL solutions.
- Hands on contribution to all stages of the Software Development Lifecycle (e.g., Design, Implementation, Testing, Deployment, Operations,...
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