Senior Data Engineer, Customer-Facing Data Products

The New York Times; New York (NY); Hybrid; USD 140,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plan

Paid vacation and sick days

Tuition reimbursement

Professional development programs

Job summary

The New York Times is seeking a Senior Data Engineer in New York City to contribute to the Customer-Facing Data Products team. This role involves developing real-time data pipelines and APIs that serve customer needs. The ideal candidate has over 5 years of experience in data engineering, familiarity with event-driven architectures, and proficiency in Python. This position offers a hybrid work environment, competitive salary, and a comprehensive benefits package, including medical and retirement plans.

Qualifications

• 5+ years of full-time data engineering experience shipping real-time solutions.
• Experience with cloud-native architectures, preferably AWS.
• Programming fluency in Python and understanding of modern API principles.

Responsibilities

• Develop real-time data pipelines using event-driven architectures.
• Engineer and scale data serving capabilities for customer-facing needs.
• Collaborate with teams to improve pipeline performance.

Skills

Data engineering experience

Event-driven architectures

Streaming technologies

Cloud native architectures

Python programming

API design principles

Education

5+ years of full-time data engineering experience

Tools

Apache Kafka

Apache Flink

Spark Streaming

FastAPI

Flask

Job description

New York, NY

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.
• 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 - $155,000 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.

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 [e-mail]. 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.

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