Role Overview
Checkr is hiring a Senior Engineering Manager, Data Engineering. This is a full-time role in Denver, Colorado, United States; San Francisco, California. Part of Checkr's Risk hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Manager-level Risk roles is $132k-$170k (based on 14 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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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.
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 be responsible for shaping the technical strategy and overseeing 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.
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
What you get:
- A fast-paced and collaborative environment
- Learning and development allowance
- Competitive compensation and opportunity for advancement
- 100% medical, dental, and vision coverage
- Up to 25K reimbursement for fertility, adoption, and parental planning services
- Flexible PTO policy with sabbaticals every 3 years
- Monthly wellness stipend
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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.
At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.
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., name@checkr.com or name@ext.checkr.com).
About Checkr
Checkr
checkr.org
Frequently Asked Questions
How do I apply for the Senior Engineering Manager, Data Engineering position at Checkr?
Use the Apply button above to submit your application directly to Checkr. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Engineering Manager, Data Engineering position at Checkr located?
This position is based in Denver, Colorado, United States; San Francisco, California. Checkr has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Engineering Manager, Data Engineering at Checkr earn?
Checkr has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Engineering Manager, Data Engineering role at Checkr posted?
This role was posted on May 13, 2026 (45 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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