The New York Times
Senior Data Engineer, Customer-Facing Data Products New York, NY
The New York Times, New York, New York, us, 10261
New York, NY
About the Role
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. This is a hybrid role based in our New York City headquarters. 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. 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. Preferred Qualifications
Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. The annual base pay range for this role is between $140,000 - $155,000 USD. The New York Times Company is committed to being the worlds best source of independent, reliable and quality journalism. We embrace a diverse workforce and encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC) Know Your Rights poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails regarding unrelated issues will not receive a response. The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable laws. Voluntary Disclosures & Self Identity Questions
We invite you to complete voluntary disclosures to comply with equal employment opportunity requirements. Information provided will be kept confidential and used for compliance purposes only. Completion is optional and will not affect hiring decisions. #J-18808-Ljbffr
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. This is a hybrid role based in our New York City headquarters. 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. 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. Preferred Qualifications
Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. The annual base pay range for this role is between $140,000 - $155,000 USD. The New York Times Company is committed to being the worlds best source of independent, reliable and quality journalism. We embrace a diverse workforce and encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC) Know Your Rights poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails regarding unrelated issues will not receive a response. The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable laws. Voluntary Disclosures & Self Identity Questions
We invite you to complete voluntary disclosures to comply with equal employment opportunity requirements. Information provided will be kept confidential and used for compliance purposes only. Completion is optional and will not affect hiring decisions. #J-18808-Ljbffr