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HomeCompaniesThe New York TimesSenior Data Engineer, Customer-Facing Data Products

Senior Data Engineer, Customer-Facing Data Products

The New York Times · New York, NY · Hybrid · Active · $140,000–$160,000 / year · Greenhouse

Job facts

FieldValue
CompanyThe New York Times
TitleSenior Data Engineer, Customer-Facing Data Products
Normalized title-
Department / teamSoftware Engineering
LocationNew York, NY, United States
Work modelHybrid / Hybrid
Employment type-
Salary$140,000–$160,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-01 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from The New York Times.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Software Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyThe New York Times
Source1fb8abec-62ba-46e5-a3f3-b51799780b63
ATS providerGreenhouse

Description

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 The annual base pay range for this role is between: $140,000 — $160,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. 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 [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 [email protected]. You can also file a report with the Federal Trade Commission or your state attorney general .

Full job record

Job ID4076916d12106a8956bbc50a15696f6a03f77150
Org IDf5c3a48f-a4a2-4037-9604-902a9e908c09
Source ID1fb8abec-62ba-46e5-a3f3-b51799780b63
Board ID1fb8abec-62ba-46e5-a3f3-b51799780b63
Providergreenhouse
Provider Job Key4691610005
TitleSenior Data Engineer, Customer-Facing Data Products
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY
DepartmentSoftware Engineering
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York
Salary Rawbase pay range for this role is between: $140,000 — $160,000 USD For roles in the U
Salary Min140,000
Salary Max160,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/thenewyorktimes/jobs/4691610005
Apply URLhttps://job-boards.greenhouse.io/thenewyorktimes/jobs/4691610005
First Seen At2026-05-29 22:40:18Z
Last Seen At2026-06-22 07:38:27Z
Last Checked At2026-06-22 07:38:27Z
Last Changed At2026-06-06 07:31:57Z
Inactive At
Source Posted At2026-05-01 16:35:52Z
Source Updated At2026-05-27 14:46:35Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=thenewyorktimes/date=2026-06-22/2026-06-22T07-38-27-067Z-94f647288215941e6228682dcea56a799fb8e1f79f1c6b664c97b540860e51d6.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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  "first_published": "2026-05-01T12:35:52-04:00",
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