Data Engineer

Data Engineer – Candid Health

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We’re looking for a passionate and skilled Data Engineer to join our fast growing data team to revolutionize healthcare billing products and systems. 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.

• 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.
• 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.
• Potential systems & projects: BI Platform Infrastructure, Airflow, Big Query Tuning, Customer Facing Data Delivery Infrastructure, DBT Deployment, CI/CD, Data Streaming Infrastructure.

• Education:
  
  Bachelor of Science or Bachelor of Arts in Computer Science, Computer Engineering, Math or a related field.
• Experience:
  
  4+ years working with data pipelines, products, and tools; built and maintained complex data integrations or pipelines.
• Knowledge:
  Well‑developed opinions on modern data warehouse architecture, tools, and patterns; strong technical vision; know the right architecture and patterns to build functional, durable, and maintainable product.
• Mindset:
  Customer‑first, learner’s mindset, value teaching others, make right trade‑offs, clear and concise communicator.
• Plus:
  
  Experience with Google Cloud Platform, Big Query, Postgre
  
  SQL, Metabase, Terraform, Python.

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; actual base salary may be modified based on factors including job‑related skills, experience/qualifications, interview performance, market data, etc. Total compensation may also include equity, sales incentives (for sales roles), and employee benefits.

Mid‑Senior level

Full‑time

Information Technology

Hospitals and Health Care

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