Staff Data Engineer

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: 9+ years of experience in data engineering, with a proven track record of architecting and shipping progressively more complex, large-scale data products. Expert-level proficiency in our modern data stack, including Snowflake, dbt, Apache Airflow, and Python. You are capable of defining best practices and architectural patterns across these tools. Deep mastery of advanced data modeling techniques and their application within production systems to achieve high performance. Architectural Ownership: Proven ability to define the technical roadmap for the entire data platform, working horizontally to influence architectural decisions and technical debt management across multiple engineering teams. Engineering Elevation: A strong track record of mentoring, coaching, and elevating the technical skills, code quality, and engineering maturity of other data engineers. 2+ years of Marketplace Experience: Prior experience in the marketplace or two-sided platform is a significant plus. Compensation Benefits: 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 a ... (truncated, view full listing at source)