This role is designed for a heavyweight technical leader with at least 9 years of experience in data engineering. While the "Mid-level" seniority tag in the lis
Work type: onsite
Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Salary: $212,000 – $265,000/yr
Type: Full-time
This role is designed for a heavyweight technical leader with at least 9 years of experience in data engineering. While the "Mid-level" seniority tag in the listing appears to be a clerical error, the requirements and compensation clearly signal a leadership position. You should be an expert in the modern data stack—specifically Snowflake, dbt, and Airflow—with a background in architecting large-scale data products and mentoring other engineers. The compensation is highly competitive, ranging from $212k to $265k plus equity and robust benefits like a "Holiday Break" week and therapy reimbursement. This is a high-impact opportunity to join a Series D unicorn during a period of massive scale. You will act as the primary technical architect, moving beyond simple pipeline building to setting the long-term technical roadmap for the entire data platform. **You might be a good fit if you:** * Have 9+ years of experience and can confidently lead technical strategy for an entire engineering organization. * Are an expert in Python and data modeling, particularly within Snowflake and dbt environments. * Have prior experience working in a marketplace or two-sided platform (highly preferred). * Enjoy a "hands-on" leadership style that balances high-level architecture with deep-dive code reviews and mentorship.
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 Data Engineering at Headway
Headway is looking for a Staff Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States.
The Data Engineering Team is the foundational engine of our data-driven organization. We are a high-impact group of engineers focused on delivering reliable, high-quality data assets at enterprise scale. Our work is centered on transforming raw data into business-ready intelligence through robust ETL/ELT pipelines, advanced data modeling, and rigorous data quality frameworks. We operate with a strong engineering discipline, partnering closely with Data Scientists, Analysts, and core Software Engineering teams to ensure data is not just available, but completely trustworthy for every critical decision and product feature.
### About this role
As a Staff Data Engineer, you will be a hands-on technical leader, architect, and mentor, responsible for defining the future state of our data infrastructure. This role focuses on setting architectural direction, establishing organization-wide data standards, and driving the design of highly scalable and optimized data models. You will lead complex, multi-functional initiatives, focusing on data quality governance and the maturity of our pipelines. You will be expected to influence our technology choices, mentor other engineers, and act as the primary technical interface between the Data Engineering team and senior stakeholders across the business.
### You Will Love This Role If You Have:
The expected base pay range for this position is $212,000 - $265,000, 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.