Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


The New York Times

Engineering Manager - Data Pipelines Infrastructure (REQ-012480_New_York)

Computer and Mathematical

All

Yearly

Full Time

No

New York, New York, United States

The [Register to View] target="_blank">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 use data to make better business decisions, improve the quality of our journalism, and provide the best possible experience to our readers. To enable this, we have built and continue to evolve our data platform. As we grow our analytics and data science capabilities, we need to grow and improve our platform to support new challenges and opportunities.

The Data Pipelines Infrastructure team, as the name suggests, builds the infrastructure around data ingestion and processing, both batch and streaming. Our mission is to enable data producers and consumers to create and manage pipelines of any complexity autonomously. This platform empowers everything from ML-based products to important reports and dashboards, and we must meet an extremely high bar for security, privacy, and reliability.

As an engineering manager on the team, you will:

  • Manage a team with six direct reports

  • Create an inclusive and collaborative environment that promotes psychological safety for all team members

  • Recruit extraordinary engineering talent and support their growth through performance reviews, constant feedback, coaching, and mentorship

  • Facilitate the definition of the vision and strategy for the team and effectively communicate them to the team and partners

  • Work with product owners, project managers, and engineers to prioritize, plan and execute work

  • Technically advise and provide feedback on solutions and decisions, making sure they align with the strategic vision

  • Advocate for quality and short feedback cycles by leveraging continuous integration, automated build and release processes, and structured development workflow

  • Partner with other product engineering teams, functions, or business units to craft the right solutions and execution plan, manage expectations, and keep strategies aligned

  • Build relationships with partners across engineering and other functions, balance their's and the team's needs, communicate effectively, and work to resolve any friction that might hinder effective collaboration.

You may be a good fit if:

  • You have at least two years of engineering management experience

  • You have successfully recruited and built great teams

  • You have managed teams that successfully delivered and operated a data platform; bonus if you've done this in the open-source, batch/streaming data infrastructure domain

  • You have enabled successful collaborations across engineering teams and have a knack for bringing engineers together to work on projects

  • You work very well cross-functionally and can think rigorously, communicate effectively, and make hard decisions and tradeoffs

  • You can jump in as needed to assist technically with code reviews and design discussions

  • You have experience with distributed systems and event-driven architectures

  • You have exposure to modern data stack tools such as dbt, Apache Beam, Fivetran, and BigQuery; bonus if you have a good understanding of SQL and data modeling

  • You know the different storage mechanisms, like relational, columnar, and key-value stores

  • You have passion for the Times' mission and desire to join us at the moment in history where our data has the power to transform every aspect of the creation and practice of journalism

#LI-AM1

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 consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local "Fair Chance" laws.