Senior Data Engineer, Customer-Facing Data Products

5+ years of full-time data engineering experience shipping real-time solutions with‬‭ event-driven architectures and stream-processing frameworks

Experience with cloud native architectures (AWS preferred), including service offerings and tools

Understanding of modern API design principles and technologies, including REST,‬‭ GraphQL, and gRPC for data serving

Programming fluency with Python

Experience using version control and CI/CD tools, such as Github Actions and Drone

Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark‬‭ Streaming

The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases.

You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.

Develop real-time data pipelines using event-driven architectures and streaming technologies.‬

Ingest and organize structured and unstructured data for widespread reuse across‬‭ patterns.‬

Engineer and scale high availability data serving capabilities to meet customer-facing needs.

Implement mechanisms to ensure data quality, observability and governance best‬‭ practices.‬