Data Engineer II

Our mission: to eliminate every barrier to mental health.
At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology,
Precision Mental Healthcare
, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a
net positive ROI
for employers and we are the only company in our category to earn
external validation
of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

This role will help maintain, operate, and expand an existing data platform that empowers the entire business. As part of the Data Platform team, this role will work closely with other engineers on the team to ensure our data platform is reliable, stable, and available by building & operating Infrastructure as Code.

Please note that candidates for this position must be based in the Seattle metro area and be willing to commute 2-3 days a week when this role transitions to a
hybrid schedule in 2026
. We're excited to be growing our presence in Seattle

What You'll Be Doing

• Learn to build & maintain our data platform stack, including Airflow, dbt, Snowflake, AWS, CircleCI, DataDog, git, and Terraform
• Write extensible & maintainable code to support data engineering & data platform use cases like dimensional modeling, data pipelines, access controls, and platform configuration & deployment pipelines.
• Help drive shared understanding & best practices on the Data Foundations team around infrastructure-as-code
• Work with key internal stakeholders on the Security and IT teams to improve & fulfill operational infrastructure needs, like role-based access and data masking
• Maintain & improve CI/CD pipelines that ensure efficient, effective, and secure development for the Data Foundations team

What Success Looks Like In This Role

• Increase data pipeline reliability, measured by a consistently high success rate for scheduled runs.
• Reduce mean time to detect and resolve data processing errors by promptly triaging incidents.
• Achieve and maintain a defined test coverage threshold for all data pipelines.
• Keep technical processes and architecture documentation up to date for easy knowledge