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' Core Platforms mission is looking for a data engineer to join the fast-growing Messaging Platforms group. As part of the Messaging Platforms group, your work will directly help grow customer acquisition, engagement, and reader loyalty. You will build data pipelines, data models, applications and infrastructure for cloud platforms that process billions of messages a month to support data analysis and bring insights and improvements to the user messaging journey. You will work with other engineers, designers, and product managers. You'll be a member of an organization that values empathy, collaboration, transparency, diversity, and learning. This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. Responsibilities:
- Create ETL data pipelines to support NYT analysts, marketers, advertisers and editors
- Contribute to a shared data platform by developing new capabilities using tech like BigQuery, dbt, Go, Python, Java, Airflow and Apache Beam
- Assemble large and complex datasets from multiple data sources into formats that can be used by the business
- Automate batch and streaming data transformation pipelines
- Implement data processing capabilities like user behavior models, metric aggregations, audience management and data science features
- Build reliable, scalable, maintainable, and cost-efficient data products
- 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.
- This is a hybrid role based in our New York City headquarters and reports to the Engineering Manager over our Messaging Experience team.
Basic Qualifications:
- 5 years of professional experience in Data Engineering
- 5 years of experience with SQL and query optimization
- 3 years of overall experience with cloud infrastructure architecture and configuration, especially with cloud-native data-warehousing solutions like Snowflake or BigQuery
- 3 years of experience writing production-quality Python (or other scripting language)
- 3 years of experience building and orchestrating ETL pipelines (e.g. Apache Airflow, DBT Cloud, BigQuery)
- Experience with cloud computing platforms (e.g. GCP, AWS)
- Familiarity with Git, and CI/CD systems such as Drone or Jenkins
- Strong experience with Terraform or similar Infrastructure as Code platform
Preferred Qualifications:
- Some experience on at least one distributed system such as NoSQL databases, stream processing systems or message brokers
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Familiarity with BI tools (e.g. Looker, Mode, Tableau) and experience sharing data insights with reports and dashboards.
#LI-Hybrid REQ-017235 The annual base pay range for this role is between: $140,000-$155,000 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 ...@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. The New York Times Company follows the pay transparency and non-discrimination provisions outlined by the United States Office of Federal Contract Compliance Programs. Click here for details. 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 ...@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.