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, I assure you, me trying to bootstrap a recruiting agency has nothing to do with your mission as a healthcare focused Data Engineer) 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 which means I still don't fully understand what you do, but I kinda do. So I won't be totally blanked faced when you start walking me through your decision matrix on buy-vs-build some proprietary framework vs just licensing some SaaS tool.

Anyway- What’s in it for you?

Startup speed. Enterprise benefits.

The irony isn't lost on my client being a healthcare company and the optics of them not being able to offer best in class healthcare benefits. It's a bloody good job they thought ahead and structured this in a way where you have world class benefits.

You won’t be squinting at a vague HR doc hoping the deductible isn’t terrifying. This is a startup moving fast, but it’s backed by a public company with real infrastructure. That means legit medical, dental, and vision coverage. 401(k) with matching. Parental leave. PTO you can actually use. Basically, you get to move at startup velocity without sacrificing Little Timmy’s dental plan or wondering if your next paycheck depends on a Series A raise.

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. Basically no free therapy sessions for subordinates masquerading as 1:1's.

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 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

This is not your friend’s “we log calories from wearables” startup. You’ll be transforming claims, clinical, and EMR data from systems that don't like to cooperate. You’ll structure synthetic mappings, ensure accuracy, and push it into production platforms that real clinicians rely on.

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

• Healthcare data engineering experience is a must. You’ve worked with EMRs. You understand HL7, FHIR, and the joys of mapping CCDA data. You know what goes wrong when an encounter has no patient ID and when Verato is or isn’t working.
• You’ve used Snowflake, dbt, and Sigma in production, not just on a course project or in someone else’s notebook.
• You’ve built APIs and pipelines that supported real-time product usage or machine learning. You know how to ship fast, not just plan.
• You’re comfortable running a distributed team and know how to unblock, delegate, and coach without micromanaging.
• You care about uptime, governance, data lineage, and version-controlled ELT.
• You’re pragmatic. If the best tool is off the shelf, you don’t insist on rolling your own.

Bonus Points If You Have

• Experience mapping unstructured or semi-structured patient data into structured clinical systems.
• Familiarity with Verato, EMPI tools, or identity resolution frameworks.
• A calm, delivery-first mindset. You like to ship good work, quietly.
• Previous startup or regulated data environment exposure, especially in healthtech or clinical analytics.

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), 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.