Software Engineer
Health Data AtlasDesign and ship data infrastructure: Dagster pipelines, Polars transformations, Observability Tooling, Agent Orchestrationfull_timemid
Tech Stack
AIMachine LearningLlmsSoftware ArchitectureData StructuresAlgorithmsClaude CodeCodexFactory.aiContext EngineeringData EngineeringSchema DesignOntologyDagsterPolarsObservabilityAgent OrchestrationPostgreSQLReactAWS
Solid badges = required, outlined = preferred
Responsibilities
- Build customer-facing features on top of entity-resolved provider and organizational data.
- Extend entity resolution tooling, including blocking strategies, scoring models, and embedding-based matching.
- Design and ship data infrastructure, focusing on Dagster pipelines, Polars transformations, and Observability Tooling.
- Build AI-powered product surfaces leveraging LLMs for healthcare data products.
- Extend internal agentic tooling to push AI multiplication capabilities further.
Soft Skills
Domain-Driven DesignProblem SolvingCross-Functional Collaboration
Benefits
- 401k
- Equity
- Health Insurance
Culture
Fast-PacedStartup EnergyDeep Work FocusLearning Budget
Requirements
Regions: Us
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About Health Data Atlas
Industry: healthtech
Size: startup
Health Data Atlas is building the organizational intelligence layer for healthcare AI, providing data to consulting firms, healthtech companies, health systems, payers, and life sciences companies. They leverage a cutting-edge stack for agentic coding and are a small, in-person team focused on solving complex problems.
View company profile →Compensation
Equity: meaningful equity
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