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CheckrCheckrDenver, CO

Senior Engineering Manager, Data Engineering

Leads the People Data team in ingesting, storing, and processing billions of records. Shapes technical strategy, oversees high-scale data pipeline projects, hires top talent, and partners with product to drive business solutions. Requires 5+ years engineering management and big data experience.

227k – 316k/yr
Hybrid5+ YOEEngineering Management

About the role

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

Skills

Data PipelinesKafkaLakehouse ArchitectureDatabricksSparkAws EmrInfrastructure As CodeCI/CDContainerizationAPIsMicroservicesData LineageTelemetryAlerting
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