Own the data engineering function at Tennr, building and maintaining production pipelines and leading EHR integration initiatives.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
What you'll build
Must have
Nice to have
AI in the day-to-day
Explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Data Engineer at Tennr is responsible for managing the entire data engineering process, including building and maintaining production pipelines into Snowflake and leading integration initiatives across multiple healthcare systems. Key skills include expertise in Snowflake, cloud platforms, and a solid understanding of healthcare data and security practices. This position is ideal for someone with 3-5 years of experience in data engineering, particularly in a fast-paced environment, who can navigate complex integration challenges. Tennr emphasizes collaboration and innovation, aiming to streamline healthcare processes.
Joblaze insights
Quick facts
From the original posting
Own the data engineering function end-to-end: build and maintain production pipelines from Tennr's application into Snowflake, ensuring reliability and performance at scale.
Lead EHR discovery and integration initiatives across ~5–10 healthcare systems. Understand what data is available, what integrations we have, evaluate technical tradeoffs, and build creative solutions to extract and ingest data into Snowflake.
Own Snowflake as our strategic data platform: architect instance setup, implement security best practices and governance, manage vendor relationships, and ensure zero data exposure.
Design and implement data models that transform raw data into usable assets. Surface and safely share that data across Tennr so internal teams can build their own analytics and tooling.
Implement comprehensive monitoring and alerting to detect pipeline issues quickly and resolve them with minimal business impact.
Explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models to unlock value from clinical text data.
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 (e.g., AWS, GCP); hands-on experience with data pipeline tools and orchestration frameworks.
Strong understanding of healthcare data—claims, EHR systems, and data integration patterns—or demonstrated ability to quickly learn complex domain-specific systems.
Healthcare-data security awareness and familiarity with best practices (e.g., 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.
A team player who thrives in collaborative environments and values diverse perspectives.
Prior experience in a startup or fast-paced tech environment is a plus.
Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
Beautiful new office at 345 Hudson Street
Unlimited PTO
100% paid employee health benefit options
Employer-funded 401(k) match
Competitive parental leave
Standard company text repeated across Tennr's postings is omitted here.