Senior Data Engineer, Customer-facing Data Products

The New York Times

New York, NY, United States
Base: $140,000 - $155,000 usd; bonus/equity: annua...
On-site
5+ years data engineering experience
Event-driven architecture expertise
Python programming fluency
The role involves developing real-time data pipelines and APIs to process events for customer-facing use cases within the Customer-Facing Data Products team

Job Summary

  • The role involves developing real-time data pipelines and APIs to process events for customer-facing use cases within the Customer-Facing Data Products team.
  • Candidates must demonstrate a strong commitment to The New York Times mission of seeking the truth and helping people understand the world through independent journalism.
  • This hybrid position in New York City offers competitive compensation including an annual base pay range of $140,000 to $155,000 USD plus potential variable pay and comprehensive benefits.

Matching Summary

The role involves developing real-time data pipelines and APIs to process events for customer-facing use cases within the Customer-Facing Data Products team.

Salary

Base: $140,000 - $155,000 USD; Bonus/Equity: Annual bonus and restricted stock eligible; Benefits: Medical, dental, vision, 401(k) match, paid leave, tuition reimbursement

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • Event-driven architecture expertise
  • Python programming fluency
  • Cloud native AWS architecture
  • REST GraphQL gRPC API design

Nice-to-have

  • Apache Kafka or Flink streaming
  • FastAPI Flask framework experience
  • SQL database proficiency
  • Data lakehouse architecture knowledge
  • Collaboration with product partners

Key Requirements

  • 5+ years full-time data engineering experience
  • Experience shipping real-time solutions
  • Proficiency with version control and CI/CD tools

Work Rights

Not specified

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