Staff Data Engineer

Job Description

About Checkr Checkr is building the data platform to power safe and fair decisions. Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including Amazon, DoorDash, Netflix, Kimpton, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the team/role We're seeking an experienced Staff Data Engineer to join our Data Platform team . This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions. As a Staff Data Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer facing products. You will work on high-impact projects that directly contribute to the next generation products. What you’ll do: Architect, design, lead and build end-to-end performant, reliable, scalable data platform. Be an independent individual contributor who can solve problems and deliver high-quality solutions without oversight and a high level of ownership. Mentor, guide and work with junior engineers to deliver complex and next-generation of features. Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features Partner with engineering, product, design, and other stakeholders in designing and architecting new features Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP Quality mindset - you insist on quality as a critical pillar of your software deliverables Analytical mindset - instrument and deploy new product experiments with a data-driven approach Architect, lead and build a performant, reliable, scalable data platform. Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team Create and maintain data pipelines and foundational datasets to support product/business needs. Design and build database architectures with massive and complex data, balancing with computational load and cost Develop audits for data quality at scale, implementing alerting as necessary Create scalable dashboards

Required Skills