Quick Summary
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people.
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
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.
- Design, build, and maintain scalable data pipelines and infrastructure to support internal stakeholders and core business functions
- Define, develop, and refine data governance, monitoring, and quality standards across the company
- Partner with Product and Engineering to advocate for best practices in data engineering and ensure data needs are addressed early in the product lifecycle
- Work cross-functionally with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture
- Own and drive technical decisions across the data platform, contributing to everything from performance optimization to infrastructure-as-code
- 6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data problems in a fast-paced tech environment
- Proficiency in Python and SQL
- Experience with tools and services that encompass a modern data platform stack, such as Snowflake, dbt, Airflow, Fivetran, and Terraform
- Familiarity with visualization tools like Metabase or Jupyter Notebooks is a plus!
- A pragmatic approach to building for both today’s needs and tomorrow’s scale
- A strong sense of ownership and a bias toward action, especially in the face of ambiguity
- Empathy for your teammates and stakeholders, and a collaborative mindset that values working across disciplines
- Passion for Headway’s mission to make mental healthcare more accessible and affordable
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- January 27, 2026
- First seen
- March 25, 2026
- Last seen
- May 2, 2026
Posting Health
- Days active
- 37
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- May 2, 2026
Signal breakdown

We're building a new mental healthcare system. Tens of millions of Americans seek mental health care every day, but the vast majority never get the care they need. Headway is solving this, and we’re doing it all through software.
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