Senior Analytics Engineer

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, J.P. Morgan Chase, 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, William K Warren Foundation, 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.

Spring Health is growing our Analytics Engineering team. Analytics Engineering at Spring sits within the Business Intelligence organization and owns core reporting infrastructure used by all downstream data scientists and data analysts. In this role you will focus on building robust models, ensuring consistency across the models we build for the business, and creating documentation that enables downstream teams to access, understand, and use data effectively. Success will require you to collaborate closely with finance and other cross-functional teams to understand our data needs, and translate them into data models that serve those needs.

What you’ll be doing

• Develop and maintain core data models in dbt to support key business metrics and ensure data consistency.
• Collaborate closely with finance and other data analysts to define and finalize critical business metrics and ensure proper data infrastructure to serve them.
• Ensure downstream teams can access and utilize data effectively by providing comprehensive documentation and support.
• Collaborate with other analytics engineers to ensure we’re providing consistent data across the entire organization
• Drive data quality initiatives by building monitoring systems and creating processes that guarantee accurate, auditable data.
• Regularly audit and review data models to maintain their relevance and accuracy, ensuring long-term data integrity across the organization.

What success looks like in this role:

• Downstream data teams consistently rate their access to high-quality data as excellent, with clear documentation that allows them to find and use the data confidently and effectively.
• The data models you build provide answers to critical business questions that are consistent across the organization
• The models you build are highly performant; they contribute to a positive experience in dbt and continue to drive down cloud data costs.

What we expect from you

• You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you.
• You have 5+ years of working experience working with data, with a focus on data pipeline tools
• You are an expert with SQL and have deep experience working with modern data transformation tools, such as dbt or similar, to create and manage scalable data models.
• You have experience building and maintaining data pipelines in cloud-based environments such as Snowflake, Redshift, or BigQuery, ensuring data is easily accessible and reliable.
• You enjoy digging into data discrepancies or issues to determine and fix root causes, ensuring high standards of data integrity across the organization.
• You have hands-on experience with data visualization tools (e.g., Looker, Tableau, Power BI) to build or support self-serve dashboards that empower non-technical teams.
• You have an interest in data qualit