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Centerfield

Data Engineer

Los Angeles, California (Remote)$100k–$130kfulltimemidAdded today

About this role

Centerfield seeks a Data Engineer to design and maintain specialized data collection infrastructure supporting the company's proprietary data architecture. You'll own end-to-end data pipelines, troubleshoot technical issues, and collaborate with stakeholders to deliver BI and analytics solutions for a digital marketing platform serving 150M+ shoppers annually.

What you'll do

  • Design specialized data collection infrastructure aligned with proprietary data architecture
  • Troubleshoot and resolve technical defects in data systems, identifying root causes
  • Implement maintenance strategies for specialized datasets to ensure reliability
  • Partner with stakeholders to deliver BI, data warehousing, reporting, and analytics infrastructure
  • Own end-to-end data collection, extraction, and cleaning processes
  • Build and optimize data pipelines for performance and resilience

What they're looking for

  • ETL tools (Talend, SSIS, Informatica)
  • Google Cloud Platform (BigQuery, Cloud Data Fusion, Cloud Storage, Analytics)
  • AWS services (S3, SQS, Redshift, Kinesis, DocumentDB)
  • Real-time streaming architecture and implementation
  • Data visualization tools (Tableau, Power BI)
  • Java and Python programming with build/packaging systems
  • NoSQL databases (MongoDB, DynamoDB, Druid, Hive, Presto)
  • Performance tuning and resilient pipeline design

Benefits

  • Competitive salary with semi-annual bonus
  • Unlimited PTO
  • Medical, dental, and vision coverage plus generous parental leave
  • 401(k) match fully vested on day 1
  • Onsite gym, fully stocked kitchens, and outdoor spaces with amenities
  • Monthly team events and weekly fitness classes; career growth with internal promotion focus
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Centerfield

Centerfield builds customer acquisition platforms and AI-powered systems supported by proprietary data infrastructure. The company is hiring data engineers and software engineers to develop APIs, data pipelines, and business intelligence capabilities.

View all jobs at Centerfield

Likely interview questions

  • Describe your experience designing and implementing data pipelines using ETL/ELT tools—what challenges did you encounter and how did you optimize for performance?
  • Walk us through a complex data architecture project you've worked on involving both AWS and GCP; what trade-offs did you consider?
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