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Engineering Manager, Data

  • Hybrid
  • 6+ years

Salary

$180,000 - 225,000/ year

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Description

About the company :

The company is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, the company’s trained over 32,000 practice-ready healthcare workers.

Layering onto our successful direct-to-consumer training, the company partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most.

Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more.

Our values :

We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values:

Care first : We do whatever it takes for our students to succeed.

Learn quickly : We test, learn with data, and iterate.

Build together : We win when we rely on each other.

Own it : We show up, take initiative, and show pride.

The opportunity:

We're hiring a Engineering Manager, Data to own the company's data function — the infrastructure, analytics, and insights that power decisions across the company, from student outcomes to marketing spend. You'll lead a team of three data analysts and engineers while staying deeply hands-on: writing code, building models, and shipping analyses alongside your team. As we scale past 40,000 students graduates, the leverage of great data work has never been higher.

This role reports directly to the SVP, Engineering and partners closely with Growth, Product, Operations, and Finance across the organization.

This is a hybrid opportunity based out of our NYC office, requiring three days/week (Tuesday, Wednesday, Thursday) in office.

Responsibilities

  • Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft
  • Own the company's data platform end to end — pipelines, warehouse, transformation layer, and BI tooling — and its reliability and scalability
  • Define and maintain the company's core metrics across the student journey (enrollment, engagement, completion, certification, placement) and business performance (CAC, LTV, retention)
  • Build dashboards and self-serve analytics that put trustworthy data in every team's hands
  • Partner with Growth and Product on experimentation — design, instrumentation, and analysis of A/B tests
  • Deliver deep-dive analyses that shape strategic decisions, from program design to budget allocation
  • Stay hands-on: write production SQL and Python, review your team's work, and take on the hardest technical problems yourself
  • Establish data governance and quality practices that scale with the company
  • What you'll bring:
  • 7+ years of data experience across analytics and data engineering, with at least 2+ years managing a team
  • Proven success as a player-coach — you set direction and manage people while still shipping your own work
  • Expert-level SQL and strong Python, with hands-on experience across the modern data stack (e.g., dbt, Snowflake/BigQuery, Airflow, Looker/Metabase)
  • Strong product and business sense — you connect data work to outcomes, not just deliverables
  • Experience designing and analyzing experiments in a high-growth environment
  • Exceptional communication skills with the ability to make complex findings clear to non-technical stakeholders
  • Bonus points if:
  • You've built or scaled a data function at an early or growth-stage startup
  • You've worked with marketing attribution or funnel analytics at scale
  • You've worked in EdTech, healthcare, or another mission-driven industry
  • Interview Process:
  • Introductory call with Talent Acquisition team member
  • Interview with Hiring Manager
  • Take-Home Assignment and Presentation
  • On-Site Panel Interview

Benefits

  • Meaningful Equity Stake
  • Subsidized Medical, Dental, and Vision insurance plan options
  • 401(k)
  • FSA, HSA and commuter benefits
  • Open vacation policy, including:
  • The target base salary range for this opportunity is $180,000 - $225,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations.
  • The company is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic.
  • Experience: 6+ years
  • Visa: US citizen/visa only

Where you’d work

Hybrid, 3 days a week in the office

The office

No visa sponsorship

About the company

Company hidden

Office in New York City, United States

Your chances

Still hiring, not crowded yet, and a person reads your message.

  • 19 checks run
  • 9 good signs
  • 2 red flags

Still hiring?

13 checks

Actively hiring

In its favour5

  • Still on the company's own careers site, checked 5 h agoModerate evidence
  • The company opened 4 roles and closed 11 in the last 2 weeks: hiring is movingModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
2 moreFewer
  • A tight salary range, set for one seat: $180K to $225KSlight evidence
  • A hiring contact is attached to itSlight evidence

Against it1

  • Posted 5 weeks ago, older than 87% of the open roles we trackModerate evidence

How crowded?

6 checks

Low

In its favour4

  • You can message the hiring contact and skip the queueModerate evidence
  • Hybrid in New York City: only people nearby can take itSlight evidence
  • Lead level: far fewer people qualifySlight evidence
1 moreFewer
  • Asks for Looker, which fewer than 1% of open roles doSlight evidence

Against it1

  • Open for 5 weeks: applications have had time to pile upModerate evidence

Fits Me

How well does this role fit you?

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  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • dbt
  • Looker
  • Snowflake
  • Airflow
  • BigQuery
Seniority
Manager
Type
Full-time
Equity
Equity offered
Region
United States
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Seniority
Manager
Experience
6+ years
Tech stack
  • Python
  • SQL
  • dbt
  • Looker
  • Snowflake
  • Airflow
  • BigQuery

Location

Work model
Hybrid
Region
United States
Office
  • New York City, United States
Days in the office
3 days
Visa sponsorship
Not sponsored

Compensation

Salary
$180,000 - 225,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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