Engineering Manager, Customer-Facing Data Products

New York Times

Education
Benefits
Special Commitments

About the Role:

The New York Times is looking for an Engineering Manager to join the Data Platform mission to lead a new engineering team focused on creating data products designed to meet NYT's most important real-time needs, including behavioral and targeting use cases. You will build a team of engineers focused on deploying and managing real-time pipelines and APIs in an event-driven architecture to process event streams and serve aggregated data for customer-facing use cases. You will report to the Director of Data Platform.

This is a hybrid role based in our New York City headquarters.

Responsibilities:

  • Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement.
  • Hire and develop engineering talent within the team.
  • Oversee the execution of roadmap items and increase productivity and delivery
  • Collaborate with product managers and partners to define product requirements and roadmaps.
  • Guide technical decisions and architectural design for the team's projects.
  • Monitor and report on initiative progress and risks.
  • Experience coaching engineers, helping them make an impact while growing in their careers.
  • Experience collaborating with product and partners to meet shared goals.
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • 2+ years experience as an Engineering Manager leading a data engineering team building production data pipelines and data products.
  • 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks.
  • Experience with AWS and their service offerings and tools.
  • Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving.

Preferred Qualifications:

  • Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming.
  • Understanding of modern data platforms, including data lake technologies and medallion architectures.

REQ-018501

The annual base pay range for this role is between:

$152,000 - $190,000 USD

Read Full Description
Confirmed 12 hours ago. Posted 2 days ago.

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