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Tennr is a healthtech company that automates the complex insurance referral and prior authorization workflows that slow down patient care and provider payments. The company uses proprietary models to handle the tedious paperwork that gets patients through the door and providers paid.
In this role, you will own the data engineering function end-to-end, building and maintaining production data pipelines from Tennr's application into Snowflake with a focus on reliability and performance at scale. You will lead EHR discovery and integration initiatives across 5–10 healthcare systems, understanding available data, evaluating technical tradeoffs, and building creative solutions to extract and ingest data into Snowflake.
You will own Snowflake as the strategic data platform, architecting instance setup, implementing security best practices and governance, managing vendor relationships, and ensuring zero data exposure. You will design and implement data models that transform raw data into usable assets, surfacing and safely sharing that data across Tennr so internal teams can build their own analytics and tooling.
Additionally, you will implement comprehensive monitoring and alerting to detect pipeline issues quickly and resolve them with minimal business impact. You will explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models to unlock value from clinical text data.
The role is based in Tennr's Hudson Square office in New York City, with an expectation of 4 days per week in-office.
REQUIREMENTS:
- 3–5 years of experience in data engineering, with a strong track record of building and maintaining scalable data pipelines and infrastructure
- Proven expertise with Snowflake and modern cloud data platforms (AWS, GCP); hands-on experience with data pipeline tools and orchestration frameworks
- Strong understanding of healthcare data (claims, EHR systems, data integration patterns) or demonstrated ability to quickly learn complex domain-specific systems
- Healthcare-data security awareness and familiarity with best practices (HIPAA considerations, data governance, compliance) is a strong plus
- Excellent problem-solving skills and comfort with complex, ambiguous integration challenges—not just standard connector configuration
- Outstanding communication skills, capable of articulating complex technical and healthcare concepts to a diverse audience
- Team player who thrives in collaborative environments and values diverse perspectives
- Prior experience in a startup or fast-paced tech environment is a plus
