Data Engineer

Role Overview

We’re hiring a Data Engineer to build the foundation for our analytics and product teams. The role involves designing, building, and maintaining data pipelines, owning the data warehouse architecture, and shaping the direction of our data platform.

What You Will Do

Design and build data pipelines, own and evolve the data warehouse architecture, implement transformation tooling, establish monitoring and data quality checks, and partner with teams to improve their work.

Why It Might Be a Fit

You’ll have the opportunity to make a meaningful impact on healthcare outcomes, work in a collaborative and inclusive culture, and have ongoing professional development in emerging data technologies.

Requirements

• Solid experience as a data engineer or backend engineer working on production data systems
• Strong SQL and strong Python for data work, including with large or distributed datasets
• Experience designing and operating data pipelines in production – ingestion, transformation, orchestration
• Experience with cloud data platforms, ideally AWS
• Familiarity with modern transformation and orchestration tooling – dbt, plus orchestration such as Airflow, Dagster, Step Functions, or equivalent
• Infrastructure-as-code experience (e.g., Terraform/CloudFormation/CDK) and a habit of managing data infrastructure the same way

Benefits

• Competitive compensation
• Opportunity to make a meaningful impact on healthcare outcomes
• Collaborative, inclusive culture focused on learning and innovation
• Ongoing professional development in emerging data technologies
• Flexible working with a commitment to work-life balance