Candid Health
Healthcare
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Candid Health. Skills: Data infrastructure, Data engineering, Data products. Collaborate with leadership. Collaborate with stakeholders”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's in Computer Science, 4+ years data pipelines experience, Built complex data integrations, Well-developed opinions data architecture
Nice to Have
Google Cloud Platform experience, BigQuery experience, PostgreSQL experience, Metabase experience, Terraform experience, Python experience
What You'll Do.
Collaborate with leadership
Collaborate with stakeholders
Understand data needs
Understand product strategy
Understand technical architecture
Own Data Engineering outcomes
Deliver Data Team outcomes
Own design new data infrastructure
Research industry best practices
Identify state-of-the-art tools
Build new data products
Develop support systems
Contribute to data culture
Ensure data is trusted
Ensure data is accessible
Work on BI Platform Infrastructure
Work on BigQuery Tuning
Work on Customer Facing Data Delivery Infrastructure
Work on DBT Deployment
Work on Data Streaming Infrastructure
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholder collaboration
Communication Scope
Explaining ideas
Full Job Description
THE OPPORTUNITY 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. 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. WHAT YOU’LL DO - Collaborate with leadership and other stakeholders including engineering, delivery, product, and customers to understand Candid’s data needs. Work with product and engineering to understand the long-term product strategy and broader technical architecture. 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. - 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. - Some systems & projects you might work on: BI Platform Infrastructure, Airflow, BigQuery Tuning, Customer Facing Data Delivery Infrastructure, DBT Deployment, CI/CD, Data Streaming Infrastructure. WHO YOU ARE - You have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree. -
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