Senior Engineering Manager, Data Engineering

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 the Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company. Checkr is looking for a Senior Engineering Manager to lead the People Data team. This team is responsible for the core data at Checkr: ingesting, storing, and processing billions of records. As the Senior Engineering Manager for this team, you will shape the technical strategy and oversee project delivery. The projects you’ll work on are high‑impact and at scale: you’ll advance our architecture and systems to lead Checkr into the next generation of product offerings. The decisions you make will impact millions of people every year and help businesses make fast, informed, and safe decisions. What you’ll do Drive a motivating technical vision for the team Partner closely with product management to solve business problems Work with the team to build a world‑class architecture that can scale into the next phase of Checkr’s growth Hire the best talent and continue to raise the bar for the team Represent the team in planning and product meetings Optimize engineering processes and policies to drive velocity and quality What you bring 5+ years as an engineering manager and 5+ years as an engineer Exceptional verbal and written communication skills Unparalleled bar for quality and operational excellence Experience working on big data products at scale AI first mindset An A‑player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. Experience designing and maintaining: Real‑time & batch processing data pipelines serving up billions of data points Normalizing and cleansing data across a medallion lakehouse architecture Systems that rely on high‑volume, low‑latency messaging infrastructure (e.g. Kafka or similar) Highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc.) Familiarity with Cloud / big data tooling: AWA, EMR, Databricks, Spark, etc. Familiarity with DevOps (including Infrastructure as Code, CI/CD, containerization, etc.) Familiarity with developing APIs and backend microservices Compliance and regulatory landscape understanding Exposure to working in the identity space Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website. On‑target Earnings OR Base Salary range (San Francisco, CA): $269,000—$316,000 USD On‑target Earnings OR Base Salary range (Denver, CO): $227,000—$267,000 USD What We Offer A fast‑paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25,000 reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., View email address on click.appcast.io or View email address on click.appcast.io). #J-18808-Ljbffr