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 45,000 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 Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States. Data plays a critical role in Headway’s mission by empowering business decisions and operations at scale. The Data Engineering team builds the platform on which we process financial data and make business decisions. The data engineering team is partnered with most of the teams across Headway including the finance team, insurance systems team, data analytics, product and data science teams. 

As a member of the Data Engineering team, you will be collaborating with others in designing, building and implementing data pipelines that serve the core product and various stakeholders. You will be partnering with the Data Science, Data Analytics and Core Infrastructure functions closely, and together help shape the data landscape for Headway.

As a Data Engineer, you will:

• Collaborate on the design and improvements of the data infrastructure
• Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Create data pipelines that stitch together various data sources in order to produce valuable business insights
• Create real-time data pipelines in collaboration with the Data Science team

You will love this role if you have:

• 3+ years of experience in a data engineering role building products, ideally in a fast-paced environment
• Good foundations in Python and SQL.
• Experience with Spark, PySpark, DBT, Snowflake and Airflow
• Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)
• A knack for simplifying data, expressing information in charts and tables
• Empathy: you are eager to see the world from your users’ perspectives
• Energy: you’re attracted to ambiguity & are a self-starter. You love to drive the direction of ambiguous projects
• Motivation: our mission excites you. We are working to solve the biggest problems in mental health care today (access and affordability)  
• Experience with Looker and build Looker ML models is a plus

Our Interview Process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You’ll meet with a member of our data engineering team for a data systems interview.
• Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• Reference Calls
• Offer: Our favorite part of the process! We’ll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $153,000 – $216,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and 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.

• Benefits offered include:
  • Equity Compensation
  • Medical, Dental, and Vision coverage
  • HSA / FSA
  • 401K
  • Work-from-Home Stipend
  • Therapy Reimbursement
  • 16-week parental leave for eligible employees
  • Carrot Fertility annual reimbursement and membership
  • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
  • Flexible PTO
  • Employee Assistance Program (EAP)
  • Training and professional development

We believe a team’s strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience.

Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please contact talent@findheadway.com

Headway employees work remotely across the US, with the option to work from offices in New York City and San Francisco. Headway participates in E-Verify. To learn more, click here.

Apply Here