Senior Data Engineer

Checkr
Denver, San Francisco
Workplace: HybridFull timeUSD 185,000 - 218,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Problem-solving","Attention to detail","Independence","Collaboration","Communication"]

Senior Data Engineer at Checkr will design, build, and maintain scalable data pipelines (batch and streaming) powering the centralized data platform. You will collaborate with product, design, analysts, and engineers, contribute to architecture discussions, ensure data quality and reliability, and enable analytics, ML, and customer-facing features across multiple hub locations in a hybrid work setup.

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FursaFursa
Checkr
Checkr
4 months ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Senior Data Engineer at Checkr will design, build, and maintain scalable data pipelines (batch and streaming) powering the centralized data platform. You will collaborate with product, design, analysts, and engineers, contribute to architecture discussions, ensure data quality and reliability, and enable analytics, ML, and customer-facing features across multiple hub locations in a hybrid work setup.
Location: Denver, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Independently design and implement complex batch and streaming pipelines using PySpark, SQL, and AWS services.
  • •Navigate ambiguity with guidance, translating high-level direction into well-scoped, high-quality technical solutions.
  • •Work cross-functionally with product, design, analysts, and engineers to ship impactful features and improve data workflows.
  • •Contribute to architectural discussions and system improvements without owning long-term strategy.
  • •Ensure pipeline reliability and data quality, implementing testing, monitoring, and observability best practices.

Pay and Benefits

Salary: USD 185,000 - 218,000 annually
Perks:Commuter BenefitsRelocation StipendMeal Allowance

Key Requirements

  • •6–7+ years of experience in data engineering with strong hands-on execution ability.
  • •Proficiency with PySpark, Python, and SQL, including debugging and performance optimization.
  • •Experience building large-scale pipelines (up to terabytes or larger), with exposure to streaming systems such as Kafka.
  • •Strong knowledge of data modeling, relational databases, and NoSQL stores.
  • •Experience with AWS services such as EMR, Glue, Athena, Lambda, and S3.
Experience:6+ yearsData engineering
Skills:Problem-solvingAttention to detailIndependenceCollaborationCommunication
Languages:English
Tech Stack:PySparkPythonSQLKafkaAWSEMRGlueAthenaLambdaS3IcebergLakehouseDatabricksSnowflake

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