Staff Data Engineer

Checkr

Denver, Colorado, United States
Base: $196,000-$230,000 usd (san francisco); base:...
On-site
10+ years designing scalable data platforms
Expert proficiency in pyspark python sql
Experience with kafka spark iceberg aws stack
Checkr is seeking a Staff Data Engineer to architect and build the centralized data platform that powers safe and fair hiring decisions

Job Summary

  • Checkr is seeking a Staff Data Engineer to architect and build the centralized data platform that powers safe and fair hiring decisions.
  • The role requires an independent individual contributor with over 10 years of experience delivering highly scalable data solutions at the petabyte scale.
  • Candidates will benefit from competitive compensation including equity, 100% medical coverage, and a flexible PTO policy in a collaborative office environment.

Matching Summary

Checkr is seeking a Staff Data Engineer to architect and build the centralized data platform that powers safe and fair hiring decisions.

Salary

Base: $196,000-$230,000 USD (San Francisco); Base: $166,000-$195,000 USD (Denver); Equity: Competitive cash and equity compensation included

Skills & Requirements

Must-have

  • 10+ years designing scalable data platforms
  • Expert proficiency in PySpark Python SQL
  • Experience with Kafka Spark Iceberg AWS stack
  • Building large-scale batch and stream processing
  • Designing relational and NoSQL database architectures

Nice-to-have

  • Understanding of Graph and Vector data stores
  • Knowledge of Databricks or Snowflake platforms
  • Mentoring junior engineers and team leadership
  • Customer-centric product-oriented mindset
  • Experience with data quality audits and alerting

Key Requirements

  • 10+ years of data platform design and implementation experience
  • Expert level proficiency in PySpark, Python, and SQL
  • Experience with massive data processing pipelines (TB/PB scale)

Work Rights

Not specified

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