Senior Engineering Manager, Data Engineering ; San Francisco

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, Door Dash, 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.

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, you will shape the technical strategy and oversee project delivery.

The projects you’ll be working on are high‑impact and at scale: you’ll be advancing 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.

• 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 Checkr’s next phase of 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

• 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
• 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 and batch processing data pipelines serving billions of data points
• Experience designing and maintaining data normalization and cleansing across a medallion lakehouse architecture
• Experience designing and maintaining high‑volume, low‑latency messaging infrastructure such as Kafka
• Experience designing and maintaining highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc.)
• Familiarity with cloud and big‑data tooling: AWS EMR, Databricks, Spark, etc.
• Familiarity with Dev Ops (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

• A fast‑paced and collaborative environment
• Learning and development allowance
• Competitive 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 with sabbaticals every three years
• Monthly wellness stipend

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We use geographic cost of labor as an input to develop ranges for our roles and each location where we hire may have a different range. If this role is remote, we list the top to the bottom of the possible range, but the target range for an exact location will be specified during recruiting.

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

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 Fair Chance Ordinance.