Engineering Manager, Data
About the role
The Engineering Manager, Data will lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft. They will own Stepful's data platform end to end, including pipelines, warehouse, transformation layer, and BI tooling, ensuring its reliability and scalability. They will define and maintain the company's core metrics across the student journey and business performance, and build dashboards and self-serve analytics that put trustworthy data in every team's hands. They will partner with Growth and Product on experimentation, design, instrumentation, and analysis of A/B tests, and deliver deep-dive analyses that shape strategic decisions.
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
Requirements
- 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
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- Experience with data warehousing technologies like Snowflake/BigQuery
- Experience with data modeling and ETL processes
- Experience with data visualization tools like Looker/Metabase
- Experience with machine learning and statistical analysis
Skills
- Data engineering
- Data analytics
- Data modeling
- Data visualization
- Machine learning
- SQL
- Python
- Experimentation design
- Communication
Benefits
- 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
- 15 work-from-anywhere days
- 10 public holidays observed for 2026
Pay
The target base salary range for this opportunity is $180,000 - $210,000, and is part of a competitive total rewards package including equity and benefits.
Schedule
This is a hybrid opportunity based out of our NYC office, requiring three days/week (Tuesday, Wednesday, Thursday).