Data Engineer
New York City Office · New York City, New York, USA
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Revenue Operations — team source
Department: Revenue Operations
From the employer’s posting
What you’ll work on
Full postingOwn 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.
Build and maintain production data pipelines from the application into Snowflake
Lead EHR discovery and integration across about 5–10 healthcare systems
Own Snowflake architecture, security, governance and vendor relationships
Design data models that turn raw data into usable assets
Set up monitoring and alerting to catch and fix pipeline issues quickly
From the employer’s 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.
build and maintain production pipelines from Tennr's application into Snowflake
Lead EHR discovery and integration initiatives across ~5–10 healthcare systems
Own Snowflake as our strategic data platform: architect instance setup, implement security best practices and governance, manage vendor relationships
Design and implement data models that transform raw data into usable assets
Implement comprehensive monitoring and alerting to detect pipeline issues quickly
Tools in this posting
- AWS
- GCP
- Snowflake
Source — Tool mentions in context
- 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.
Role Description - 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 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.
- 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.
Benefits in the posting
Full benefits wording- Unlimited PTO
- 100% paid employee health benefit options
- Employer-funded 401(k) match
- Competitive parental leave
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 24 days ago
- Recorded sightings
- 15
- Last seen by us
- Oct 24, 2026
- Employer says posted
- Sep 28, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
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.
Candidate Qualifications
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.
Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
Free lunch! Plus a pantry full of snacks.
Beautiful new office at 345 Hudson Street
Unlimited PTO
100% paid employee health benefit options
Employer-funded 401(k) match
Competitive parental leave
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York City, New York, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.