Senior Data Engineer at Headway (New York, New York)

Headway helps people find therapists who take their insurance and get affordable mental health care. 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.

Key responsibilities

• 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 — including ensuring that data generated or
• Identify and lead platform projects that enable better self-service and standardization across teams and pods, reducing bottlenecks
• Partner with Product and Engineering to advocate for best practices in data engineering
• 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

Requirements

• 6+ years of experience as a data engineer, with a track record of building scalable systems
• 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 forward-thinking approach to AI, with hands-on experience using it to improve your own workflows
• A pragmatic approach to building for both today’s needs and tomorrow’s scale

Location and schedule

• Hybrid in New York, New York

Salary and benefits

US base salary $180,000 to $225,000 a year. Headway also offers equity and benefits; the full list is on the posting.

How to apply

Apply on the company's own site.