Staff Data Engineer

Checkr
Denver, San Francisco
Workplace: OnsiteFull timeUSD 190,000 - 264,000 annuallyFunction: Software EngineeringExperience: 10+ yearsSkills: ["Problem-solving","Attention to detail","Ownership","Bias for action","Mentorship"]

Build and evolve the centralized People Data platform that powers multiple Checkr products and the company’s AI-powered verification workflows. Own core services, data pipelines, and scalable, reliable architecture for distributed systems and data engineering. Work independently with strong ownership, mentor junior engineers, partner across engineering/product/design, and drive data-driven experimentation while monitoring and resolving production issues.

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FursaFursa
Checkr
Checkr
1 month ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Build and evolve the centralized People Data platform that powers multiple Checkr products and the company’s AI-powered verification workflows. Own core services, data pipelines, and scalable, reliable architecture for distributed systems and data engineering. Work independently with strong ownership, mentor junior engineers, partner across engineering/product/design, and drive data-driven experimentation while monitoring and resolving production issues.
Location: Denver, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect, design, lead, and build end-to-end performant, reliable, scalable data platform services.
  • •Solve distributed systems and data engineering challenges while influencing technical direction.
  • •Mentor and guide junior engineers to deliver next-generation features.
  • •Collaborate with engineering, product, design, and stakeholders to design and architect new features.
  • •Monitor, triage, and resolve production issues; create and maintain data pipelines and foundational datasets.

Pay and Benefits

Salary: USD 190,000 - 264,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLearning BudgetPaid LeaveWellness Stipend

Key Requirements

  • •10+ years designing, implementing, and delivering scalable, high-performance data platforms.
  • •Experience building large-scale data processing pipelines using ETL/ELT with batch and stream processing.
  • •Expert-level proficiency in PySpark, Python, and SQL.
  • •Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB).
  • •Experience with big data technologies including Kafka, Spark, Iceberg, data lakes, and AWS services (EKS, EMR, Serverless, Glue, Athena, S3).
Experience:10+ years
Skills:Problem-solvingAttention to detailOwnershipBias for actionMentorship
Languages:English
Tech Stack:PySparkPythonSQLETLELTMongoDBKafkaSparkIcebergData lakesAWSEKSEMRServerlessGlueAthenaS3DatabricksSnowflake

Company Brief

Checkr
Provides an automated, AI-driven background check platform for hiring, helping employers run compliant and fast background screenings, identity verification, and continuous monitoring to streamline recruitment and reduce risk.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2014
WebsiteLinkedIn