Engineering Manager, Data

Equal Opportunity Ventures; New York (NY); Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

Equity

Medical insurance

401(k)

FSA/HSA

Vacation policy

Work-from-anywhere days

Public holidays observed

Job summary

Stepful, a workforce platform, seeks an Engineering Manager, Data in New York, NY. You will lead a small team of data analysts and engineers, own pipelines, warehouses, and BI tooling, and drive metrics across student outcomes and business performance.

This hands-on role blends leadership with coding and model-building to scale our data function as we grow beyond 40,000 students. You'll partner with Growth, Product, Operations, and Finance, and work in a hybrid NYC office (3 days/week).

Qualifications

• 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.

Responsibilities

• Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft.
• Own Stepful'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.

Skills

Data analytics

Data engineering

Team leadership

SQL

Python

Experimentation

Communication

Tools

dbt

Snowflake/BigQuery

Airflow

Looker/Metabase

Job description

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

Engineering Manager, Data

Stepful Operations

New York, NY, USA

USD 180k-225k / year + Equity

Posted on Aug 27, 2026

About Stepful

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

Layering onto our successful direct-to-consumer training, Stepful 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.

Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT. We were named the #1 EdTech company in the U.S. by TIME for 2025.

Our 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 Stepful'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.

What You'll Do

• Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft
• Own Stepful'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 And Compensation

• Meaningful Equity Stake
• Subsidized Medical, Dental, and Vision insurance plan options
• 401(k)
• FSA, HSA and commuter benefits
• Open vacation policy, including:
  • Guidance of 15 days PTO annually
  • Stepful closed the last week of December
  • 15 work-from-anywhere days
  • 10 public holidays observed for 2026

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.

Stepful 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.