Reporting to the Head of Engineering, New Venture, and partnering closely with engineering, product, and clinical teams, the Senior Data & Insights Engineer will own the end-to-end data layer, from pipelines and data models to analytics and dashboards, ensuring data is reliable, accessible, and drives decision-making across the business.

This is not a narrow pipeline-focused role, but a high-impact, high-autonomy position where you will be the go-to partner for answering critical business and product questions, ensuring data integrity, and continuously improving how data flows across systems. You will work across backend systems (Postgres), our data warehouse (Snowflake), and analytics tools (e.g., Mixpanel) to unify fragmented data into a reliable and actionable source of truth. In this early-stage environment, you will have the opportunity to define both the data architecture and how data is used day-to-day, with full ownership of the data layer and direct impact on product, clinical, and business decisions.

Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. 

What you’ll be doing:

• Build and maintain data pipelines that move data from application databases (e.g., Postgres) into Snowflake.
• Design, extend, and optimize data models across backend systems and the data warehouse.
• Ensure data reliability, integrity, and timeliness across all systems and reporting layers.
• Translate ambiguous business and product questions into clear analyses, dashboards, and SQL queries.
• Develop dashboards and self-serve analytics tools for product, clinical, and operations teams.
• Identify and resolve data discrepancies across systems (e.g., backend, warehouse, analytics tools).
• Integrate and reconcile multiple data sources into a consistent and trusted source of truth.
• Partner cross-functionally to define metrics, improve data accessibility, and drive data-informed decisions.
• Evaluate and implement tools for data orchestration, transformation, and scaling the data platform.
• Continuously improve data architecture to support a transition from scrappy workflows to scalable systems.

What success looks like in this role:

• The team trusts data and uses it daily for decision-making
• Key metrics are clearly defined, consistent, and easy to access
• Data discrepancies are proactively identified and resolved
• New data questions can be answered quickly without reinventing pipelines
• Dashboards and reporting tools are widely adopted and reduce reliance on ad hoc requests.

What we expect from you:

• 5+ years of experience in data engineering, analytics engineering, or similar roles
• Strong SQL skills (Snowflake or similar data warehouse experience required)
• Experience working with backend systems (Python, Postgres or similar)
• Proven ability to build and maintain data pipelines (ELT/ETL)
• Experience working with product analytics tools (e.g., Mixpanel, Amplitude)
• Strong intuition for data quality and debugging inconsistencies across systems
• Ability to turn ambiguous questions into structured analysis and insights
• Comfortable operating in a high-autonomy, fast-moving environment

Nice to Have

• Experience with tools like dbt, Airflow, Dagster, or similar
• Experience designing event tracking systems
• Exposure to healthcare or regulated data environments
• Experience building a data stack from early stage to scale

The target base salary range for this position is $159,100 - $196,480, 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, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals. 
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.