Job Description

Data Engineering Team Lead | Healthcare Data, Snowflake, Sigma, and More

Remote | Early-Stage MedTech Startup | Backed by a Public Company Portfolio

Hi reader. It is I, a human who wrote (most) of this. Do me a favor and at least read down to the "what's in it for you" section before you continue doom scrolling on whatever social media you find least aggravating.

Twelve10 (my recruitment company, not my end client, so please don't tell me how Twelve10's mission resonates with you using the AI template LinkedIn provides) has been retained by a private equity firm to build out the go-to-market (GTM) team for a groundbreaking medtech AI/ML startup .

This isn’t a “we’ll let you build things one day” job. The platform is already live in parts, and now they need someone to take it across the finish line. That someone could be you (didn't mean for this to sound as dramatic as it did).

Also, Twelve10 have been retained for the duration of this project. We've built out 80% of the team which is north of 20 hires at this point. You're not dealing with a junior recruiter from a grad shop who is CTRL F'ing key words on your resume who has never personally spoken with the client just submitting you into some portal hoping to hear back. In fact, one of the co-founders of this company, I've partnered with for over 8 years and I'm personally 16 years into recruitment at this point.

What’s in it for you?

You’ll lead, but still build

You’ll manage a small offshore team of data engineers, but this isn’t a hand-wavy manager role. You’ll be hands-on with Snowflake, Sigma, and the data transformation layer (built with dbt). You’ll shape pipelines that directly power clinical insights and machine learning.

No chaos, no flames, just momentum

This isn’t a messy Greenfield rescue mission. The APIs are built. Redox is integrated. A lot of the core platform work is already done. You’re not here to put out fires. You’re here to build on a solid foundation and finish the job.

Real healthcare data, real-world complexity

You’ll work with structured and unstructured data, including MASH patient data that doesn’t map cleanly. Your job is to make it useful, make it accurate, and make it actionable inside a production platform that clinicians actually use.

A clear mission, with a real team

You’ll collaborate with product, engineering, and AI teams. But unlike the last guy, who got burned out acting as a PM and a tech lead and a human glue stick, you’ll actually have support. Product owns product. You own delivery.

Remote-first culture with the stability of public backing

Live wherever you want in the U.S. while working on high-impact problems. You get startup ownership without the fear of being tomorrow’s budget cut.

What You’ll Be Doing

• Lead and manage an offshore team of four data engineers. You’ll focus on delivery, not politics.
• Build, refine, and maintain the Snowflake data warehouse.
• Use Sigma to develop real-time dashboards and reporting that power clinical and operational decisions.
• Transform healthcare data, including EMR integrations via Redox, into clean, structured formats. That includes handling synthetic mappings from unstructured MASH data.
• Supply training data to internal machine learning teams.
• Drive integration with new EMRs and contribute to expanding the data ecosystem.
• Maintain HIPAA compliance and ensure data quality and platform reliability across the stack.

What My Client Is Looking For

• Solid experience in healthcare data engineering. You’ve worked with EMRs, understand CCDA messaging, and are comfortable navigating HL7 or FHIR standards.
• You’ve built pipelines, dashboards, and APIs in production. Ideally, you’ve used Snowflake, Sigma, and dbt.
• Familiarity with identity resolution tools like EMPI or Verato is a big plus.
• You know how to lead an offshore team and keep delivery on track, even if you’re not chasing a title.
• You’re someone who gets compliance, cares about uptime, and writes clean, tested code.

Bonus Points If You Have

• Experience mapping messy or unstructured patient data into structured clinical platforms.
• A calm, delivery-first mindset. You like to ship good work and move on to the next challenge.
• Previous startup exposure, especially in healthtech or any regulated data environment.

This role is ideal for someone who wants more than just a job (although yes, it'll be nice to you know, pay bills and put food on the table. My client won't ever be arrogant enough to ask, "tell me why you want to work here" as though they're doing the world a favor by having an open role, the founders are genuinely good humans and I've had the pleasure of partnering with one of the co-founders going on 8 years at this point), it’s a chance to shape the data infrastructure of a growing startup from the ground up, with the stability that comes from being backed by a public company.

If you made it this far, you either (a) might actually be interested or (b) just enjoy reading job ads for fun. I do the same on Zillow looking at mansions I can't afford yet. But if I place you, I'll be one fee closer to a deposit on one.

In any case, fire over your CV and I'll genuinely try to get something on the books with you as this is an urgent hire.

I promise you I'm a delight to work with.

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