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.
Requirements
- 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.
- Programming fluency with Python.
- Experience using version control and CI/CD tools, such as Github and Drone.
- Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming.
- Experience with SQL and building APIs with GoLang and Protobuf.
Responsibilities
- Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies.
- Ingest and organize structured and unstructured data for widespread reuse across patterns.
- Implement mechanisms to ensure data quality, observability and governance best practices.
- Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.
- Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies.
- Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review.
- Experience collaborating with product and partners to meet shared goals.
Other
- This is a hybrid role based in our New York City headquarters.
- 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.
- The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism.
- To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization.
- We encourage people from all backgrounds to apply.
- We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law.
- All applications will receive consideration for employment without regard to legally protected characteristics.
