Senior Data Engineer, Customer-Facing Data Products
Real job — pulled straight from The New York Times’s careers page · Verified May 28, 2026 · No reposts.
Job description
The New York Times is hiring a Senior Data Engineer, Customer-Facing Data Products — a full-time, based in New York, NY role ($140k–$160k). Apply directly on The New York Times's careers page below.
Senior Data Engineer, Customer-Facing Data Products
Location: New York, NY
Department: Software Engineering
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
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 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.
- Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.
- Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review.
- Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies.
- 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:
- 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
Preferred Qualifications:
- Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark Streaming
- Experience building APIs using Python frameworks (FastAPI, Flask)
- Experience with SQL
- Understanding of modern data platforms including data lakehouse and medallion architectures
- Experience collaborating with product and partners to meet shared goals
This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-020049
Compensation and Benefits For This Role:
In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
Candidate Use of GenAI Tools:
We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.
If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.
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. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
Get Data Engineer jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Frequently asked questions
What is the salary for Senior Data Engineer, Customer-Facing Data Products at The New York Times?
The estimated salary range for Senior Data Engineer, Customer-Facing Data Products at The New York Times is $140,000 - $160,000 USD per year.
What skills are required for Senior Data Engineer, Customer-Facing Data Products at The New York Times?
The required skills for Senior Data Engineer, Customer-Facing Data Products at The New York Times include: Python, AWS, REST, GraphQL, gRPC, Git, Kafka, Spark, SQL, FastAPI, Flask.
What is the seniority level for Senior Data Engineer, Customer-Facing Data Products at The New York Times?
Senior Data Engineer, Customer-Facing Data Products at The New York Times is a Senior level position.
How do I apply for Senior Data Engineer, Customer-Facing Data Products at The New York Times?
You can view the full description and apply for Senior Data Engineer, Customer-Facing Data Products at The New York Times on EchoJobs: https://echojobs.io/job/the-new-york-times-senior-data-engineer-customer-facing-data-products-vhqcm.