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Centerfield

Data Engineer

  • Confirmed live in the last 24 hours
  • $100k–$130k
  • Mid level
  • Full-time
  • Remote · Los Angeles, California
  • 3+ yrs exp
  • Added 1 month ago

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.

Industry
Technology & Software
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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