Senior Data Engineer
Join Headway as a Senior Data Engineer to build scalable data pipelines and support mental healthcare accessibility.
Posted by employer 2 weeks ago
First seen on Joblaze 1 month ago
Last verified on the company career page 2 hours ago
What you'll build
- Design, build, and maintain scalable data pipelines
- Define, develop, and refine data governance standards
- Partner with Product and Engineering for data needs
- Work with Analytics, Data Science, and Infrastructure
- Drive technical decisions across the data platform
Must have
- 6+ years of experience as a data engineer
- Proficiency in Python and SQL
- Experience with modern data platform stack
Nice to have
- Familiarity with visualization tools like Metabase or Jupyter Notebooks
AI in the day-to-day
As AI tools become a primary way Headway employees interact with our data, we're ensuring that data is trustworthy and AI-ready.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Engineer at Headway, the individual will design and maintain scalable data pipelines that support various internal functions and ensure data governance standards are met. Proficiency in Python, SQL, and familiarity with modern data tools like Snowflake and Airflow are essential for success. This position is ideal for someone with over six years of experience in data engineering, particularly in fast-paced tech environments, who values collaboration and has a strong commitment to improving mental healthcare access.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 17, 2026. Last confirmed on Headway's careers page November 8, 2026.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,000).
- Starts above 30% of 115 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 34 companies). See Python salary trends
- Python appears in 74.4% of 199 comparable senior data engineering roles in United States; Fivetran appears in 4% of 199 comparable senior data engineering roles in United States.
Quick facts
- What's the salary range?
- Headway lists $180,000–$225,000 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Senior Data Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Fivetran, Python, SQL, Snowflake, Terraform.
- What seniority level is this role?
- Headway targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer role at Headway.
From the original posting
About the Data Engineering Team
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.
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 AI tools become a primary way Headway employees interact with our data, we're also thinking carefully about what it means to make that data trustworthy, well-documented, and AI-ready.
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.
In this role, you will:
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 surfaced by AI tools is complete, correct, and traceable
Identify and lead platform projects that enable better self-service and standardization across teams and pods, reducing bottlenecks and empowering stakeholders to get the data they need on their own
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
Find practical ways to leverage AI in data engineering workflows, and help shape how Headway employees interact with our data through AI-powered tools, ensuring the underlying data layer is reliable enough to power accurate, trustworthy answers
You will love this role if you have:
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 forward-thinking approach to AI, with hands-on experience using it to improve your own workflows and a clear-eyed sense of what’s feasible today versus what isn’t yet
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
Standard company text repeated across Headway's postings is omitted here.