Candidhealth

Data Engineer

San Francisco

Sponsorship not specified$165k-$205kDetected 43 days ago

PostgreSQLBigQueryGCPCloud PlatformsTerraformCI/CDAirflowdbtData EngineeringProduct StrategyResearchLeadershipMetabase

About the role

We're looking for a passionate and skilled Data Engineer to join our fast growing data team to revolutionize healthcare billing products and systems that directly address the needs of our customers.

Own the design of new data infrastructure: Research and identify industry best practices and state-of-the-art tools to leverage. Design new systems to support the necessary outcomes in a secure, durable, performant, and maintainable way.
Build and support new data products: Build datasets, pipelines, and other solutions to support operational and product outcomes. Develop support systems to scale the team and achievable outcomes.
Contribute significantly to building a robust data culture: ensuring data is trusted, accessible, and central to how we identify opportunities and measure our impact.
Build datasets, pipelines, and other solutions to support operational and product outcomes.
Develop support systems to scale the team and achievable outcomes.

You have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree.
You have 4+ years of experience working with data pipelines, products, and tools.
You have well-developed opinions on modern data warehouse architecture, tools, and patterns.
You have a customer-first and learner's mindset, and value teaching others.
you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.

Experience with the technologies we currently use is a plus, but by no means required: Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python.

Research and identify industry best practices and state-of-the-art tools to leverage.

The estimated starting annual salary range for this position is $165,000 to $205,000 USD.
The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc.
Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits.
Given Candid Health's funding and size, we heavily value the potential upside from equity in our compensation package.

You have excellent technical vision; you know the right architecture and patterns to build functional, durable, and maintainable product.
Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.

As an early Data Engineer, you'll play a key role in designing, building, and supporting the next generation of our data infrastructure.
This is an opportunity to get in at the ground floor of designing and building something exciting, new, secure, durable, performant, and maintainable.
ensuring data is trusted, accessible, and central to how we identify opportunities and measure our impact.
Collaborate with leadership and other stakeholders including engineering, delivery, product, and customers to understand Candid's data needs.
Work with customers to understand their needs and how best to address them in a scalable way.
Expansively own Data Engineering team outcomes: Deliver on Data Team outcomes for both internal teams and external customers, which include both operational and analytics workflows.
Deliver on Data Team outcomes for both internal teams and external customers, which include both operational and analytics workflows.

This listing is sourced directly from Candidhealth's careers page and normalized into a canonical job model.