Senior Engineering Manager, Data Engineering

Checkr•San Francisco, CO

9h•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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