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 newsroom that’s 1,700 strong and 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. 

Note for US based roles: Any offer of employment is contingent on providing proof of Covid-19 vaccination prior to your start date, subject to approved medical and/or religious exemptions, in accordance with applicable law.

Job Description

At The New York Times, we take data seriously and use it to make our decisions, improve the quality of our journalism, and provide the best possible experience to our readers. To ensure this, we built and continue to evolve our big data platform. As we grow our analytics and data science capabilities, and consequently, the number of users, we need to grow our platform to support new challenges, opportunities, and goals.

About the Team

The Data Pipelines Infrastructure team, as the name suggests, builds all the infrastructure around data pipelines at The Times– batch and streaming. Our mission is to provide our users–technical and non-technical– with the best toolset possible and allow them to create pipelines of any complexity. The team is still in the early stages of development, so joining us means shaping the vision and architecture of the next generation of data transport, collection, and orchestration at The Times to better help develop data-driven products and features at a pace that matches our incredible growth.

As an engineer on the team, you will:

• Build a fault-tolerant, secure, and scalable infrastructure and APIs

• Architect, test, release, and support new functionalities

• Build self-service platforms to power The Times' Technology and Data teams

• Partner with other teams to develop and deliver platform capabilities of ingestion, transformation and orchestration

• Engage with our users to better understand their pain points, observing patterns, and identify opportunities for improvements

Required Experience

• BS in Computer Science or equivalent engineering experience

• Complete experience with the software development lifecycle

• Experience with Python, object-oriented design, and agile engineering practices– like test automation, continuous integration/delivery

• Experience shipping high-quality & performing systems

• Knowledge of distributed systems principles (consistency and availability, durability, fault-tolerance)

• Experience with the different data storage technologies – RDBMS, Columnar, NoSQL, and file-based storage solutions.

Bonus Points

• Experience with Golang

• Experience with Apache Beam for data processing

• System observability using Datadog

• Cloud-based (Google Cloud Platform) architecture

• Experience with the following technologies:

• PubSub

• BigQuery

• Airflow (Google Cloud Composer)

• dbt

• FiveTran

• Cloud storage: S3, GCS, …

• Experience with agile/lean projects

You'll want to work with us if you:

• Love building data infrastructure

• Take ownership and support solutions you develop

• Are enthusiastic about technology and love to grow as an engineer

• Value collaboration with other members of the team 

• Are strong communicator both in writing and verbally

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. 

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The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.

The New York Times Company is an Equal Opportunity Employer and does 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 New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws, and will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws.