At Candid Health, we're looking for a Data Engineer to design, build, and support the next generation of our data infrastructure. You'll play a key role on our fast-growing data team, revolutionizing our healthcare billing products.

What You'll Do

Collaborate with leadership, engineering, delivery, product, and customers to understand data needs.
Work with product and engineering to understand long-term strategy and technical architecture.
Work with customers to understand needs and address them scalably.
Own Data Engineering team outcomes for internal teams and external customers, including operational and analytics workflows.
Research industry best practices and state-of-the-art tools to leverage.
Design new data systems to be secure, durable, performant, and maintainable.
Build datasets, pipelines, and solutions to support operational and product outcomes.
Develop support systems to scale the team and achievable outcomes.
Contribute to building a robust data culture where data is trusted, accessible, and central.

What We're Looking For

A Bachelor's degree in Computer Science, Computer Engineering, Math, or similar.
4+ years of experience working with data pipelines, products, and tools.
Experience building and maintaining complex data integrations or pipelines.
Well-developed opinions on modern data warehouse architecture, tools, and patterns.
Excellent technical vision for functional, durable, and maintainable product architecture.
A customer-first and learner’s mindset, valuing teaching others.
Ability to make the right trade-offs considering project scope.
A clear and concise communicator, able to explain complicated ideas simply.

Nice to Have

Experience with Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, or Python.

Technical Stack

Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python, Airflow, DBT

Team & Environment

You'll be an early Data Engineer on a fast-growing data team. Our culture emphasizes minimal hierarchy and titles, and we have broad ranges of experience within roles.