This role is designed for an experienced Data Engineer with at least 6 years of experience, specifically someone who has operated within fast-paced, high-growth
Work type: remote
Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Salary: $180,000 – $225,000/yr
Type: Full-time
This role is designed for an experienced Data Engineer with at least 6 years of experience, specifically someone who has operated within fast-paced, high-growth tech environments. The ideal candidate is a Python and SQL expert who is comfortable not just building pipelines, but also making high-level architectural decisions and managing infrastructure-as-code. The compensation is highly competitive, topping out at $225,000 plus equity. As a fully remote Series D startup backed by top-tier VCs like a16z and Accel, this position offers the stability of a well-funded company with the impact of a mission-driven healthcare mission. Standout perks include a generous holiday break between Christmas and New Year’s, a work-from-home stipend, and therapy reimbursement. **You might be a good fit if you...** * Have mastery over the "Modern Data Stack" (Snowflake, dbt, Airflow, and Fivetran). * Enjoy a "bias toward action" and can navigate technical ambiguity without hand-holding. * Prefer a cross-functional role where you advocate for data best practices directly to Product and Engineering teams. * Want to apply your technical skills to solve real-world accessibility issues in mental healthcare.
Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance.
1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice.
Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation.
We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.About the Data Engineering Team
Headway is looking for a Senior Data Engineer to help bring us closer to our mission: creating access to affordable, quality mental healthcare across the United States.
Data is foundational to that mission. It powers everything from critical business decisions to the systems that support patients, providers, payers, and internal teams. The Data Engineering team builds and maintains the infrastructure that makes this possible. We partner closely with stakeholders across the company - including Finance, Insurance Systems, Analytics, Product, and Data Science - to ensure that Headway's data platform is scalable, reliable, and secure.
As a Senior Data Engineer, you'll help shape the future of our data architecture. You’ll work cross-functionally to design and implement robust data pipelines, define and uphold data governance standards, and ensure our platform is built to meet the growing needs of the business.
### In this role, you will:
The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.