Senior Software Engineer, Data

Checkr
San Francisco, California, United States
Full Time
Hybrid
Senior
USD 157,000 – 218,000
Data & Analytics Information Technology Telecommunications

Posted 2 days ago

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Excellent 4.7

Job summary

The role involves designing and maintaining high-quality scalable data pipelines using PySpark, SQL, and AWS services. The engineer will collaborate cross-functionally, ensure data pipeline reliability, and support data products to enable analytics and ML.

Responsibilities

Design and build scalable data pipelines and core services for the centralized people data platform. Partner with cross-functional teams to shape the product roadmap and ensure platform availability through on-call support and mentoring.

Qualifications

AWS Data Modeling Data Privacy NoSQL PySpark Python Relational Databases SQL Streaming Systems (Kafka) Troubleshooting & Debugging

Requires 5+ years of software engineering experience with strong proficiency in Python, PySpark, and SQL. Candidates must have experience with big data technologies, AWS stack, and a proven track record in data modeling and system architecture.

English

Benefits

  • Learning And Development Allowance
  • Cash Compensation
  • Equity Compensation
  • Medical Coverage
  • Dental Coverage
  • Vision Coverage
  • Fertility Reimbursement
  • Adoption Reimbursement
  • Parental Planning Services
  • Flexible PTO Policy
  • Monthly Wellness Stipend
  • Free Lunch
  • Commuter Stipend
  • Relocation Stipend

Company

Checkr

Checkr

linkedin
Software Development
Location
San Francisco, California, United States
Website
checkr.com

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Excellent 4.7
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