Data Engineer, Media Innovations

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 Media Innovations Team (MIT) is a cross-functional partnership between product engineering, data science, and marketing. We think about advertising differently here - with a focus on first-party data only, our ad team centers the priorities of our users, our advertisers, and our newsroom through ad experiences that respect user privacy.

We are looking to add a Senior Data Engineer to the MIT team that will own and shape the marketing data domain area and move forward business goals. Our ideal candidate is excited about data, motivated to learn new technologies, and comfortable collaborating with engineers from other teams, product owners, business teams, and data analysts and data scientists. In this role, you will devise data solutions to new marketing technology challenges and how they would integrate with our existing marketing technology stack, and then take them to production. This is a high-impact role, and your contributions will make a difference in the way The New York Times builds great relationships with passionate newsreaders.

This role will report to the Engineering Manager, Media Innovations. The work location will be flexible to both remote or hybrid working models.

Responsibilities:

• Build and maintain new data pipelines to enable Marketing analytics and operations use cases
• Modernize and simplify existing marketing data pipelines and datasets by using SQL modeling in dbt
• Automate tasks such as end-to-end testing and report generation
• Build transformation pipelines with tools such as BigQuery, dbt, Airflow, FiveTran, Mode and other services in Google Cloud Platform using languages such as Python, Go & SQL

Basic Qualifications:

• 2+ years of full-time software engineering experience or equivalent
• Experience building and supporting large-scale data pipelines and warehousing solutions
• 1+ years experience with backend systems and software engineering. Programming experience in a relevant language, e.g. Python, Java
• 1+ years experience working with SQL and strong understanding of Data Modeling
• 1+ years experience working with cloud platforms like GCP or AWS

Preferred Qualifications:

• Experience with data transformation utilizing frameworks such as dbt
• Experience designing, maintaining, and monitoring an enterprise-wide data platform
• Experience with distributed systems and event-driven architectures
• Knowledge of different databases and storage technologies, like relational DBMSs, columnar storage, and key-value stores.
• Experience with data extraction and load tools such as FiveTran

The annual base pay range for this role is between:$104,000—$130,000 USD

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. 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.

The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. 

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