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Staff Data Engineer

Checkr

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Job Description

Job Overview

Checkr is seeking an experienced Staff Data Engineer to join their Data Platform team, which is crucial for developing and maintaining scalable data platforms for fair and safe hiring decisions. The role involves working on Checkr's centralized data platform and contributing to high-impact projects that support the company's vision.

Technical Requirements

Required Skills
  • • PySpark
  • • Python
  • • SQL
  • • data modeling
  • • ETL/ELT
  • • stream and batch processing
  • • problem-solving
Preferred Skills
  • • Graph data stores
  • • Vector data stores
  • • Databricks
  • • Snowflake
Experience Level

10+ years of designing, implementing and delivering highly scalable and performant data platforms

Responsibilities

  • • Architect, design, lead and build end-to-end performant, reliable, scalable data platform
  • • Mentor, guide and work with junior engineers
  • • Collaborate with customers and internal stakeholders to resolve product ambiguities
  • • Monitor, investigate, triage, and resolve production issues
  • • Create and maintain data pipelines and foundational datasets
  • • Design and build database architectures with massive and complex data
  • • Develop audits for data quality at scale
  • • Create scalable dashboards and reports

Technical Environment

Languages

Benefits & Perks

  • • Learning and development allowance
  • • 100% medical, dental, and vision coverage
  • • Up to $25K reimbursement for fertility, adoption, and parental planning services
  • • Flexible PTO policy
  • • Monthly wellness stipend, home office stipend

Additional Information

Location
Denver, Colorado, United States; San Francisco, California, United States
Type
Hybrid work environment
Compensation
Base Salary range (San Francisco, CA) $196,000 - $230,000; Base Salary range (Denver, CO) $166,000 - $195,000

About Checkr

Checkr platform uses AI to make background screening more efficient, speed up the hiring process, fill roles faster & drive more revenue.

Company Size
201-500
Categories
AI Background Checks Background Screening HR Tech