Data Engineer, Behavioral Data
Job Description
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 Us
The New York Times' Data Platform mission is looking for inventive and motivated data engineers to join the newly created behavioral data team. You will build data pipelines, data models, applications and infrastructure for cloud platforms that ingest and serve hundreds of millions of records a day allowing for analysis, messaging and personalization for thousands of user audiences.
Our team builds and supports an internal data platform for user data. We're a team of Software Engineers, Data Engineers and Analysts responsible for full stack analytics engineering. Our platform and products aim to capture, move, store, and transform raw data into highly actionable insights. We support company-wide goals like growing our digital subscriber base, understanding how our customers use our products, and retaining our print subscribers.
The work location hybrid working model.
As an engineer on this team, you will
- Create and maintain ELT 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 various data sources into formats that can be effectively utilized by the business
- Automate and optimize batch and streaming data transformation pipelines
- Implement data processing capabilities like user behavior models, metric aggregations, audience management and data science features
- Develop highly governed data with clear definitions, manage it closely for quality and changes, and implement monitoring and alerting
- Build reliable, scalable, maintainable, and cost-efficient data products on Google Cloud Platform
Basic Requirements
- 2 years of professional experience in Data Engineering
- Proficient with SQL and some experience optimizing queries
- Proficiency with programming in at least one language (Go, Java or Python most preferred)
- Some experience building and running a batch ELT pipeline
Preferred Requirements
- Some experience on at least one distributed system such as NoSQL databases, stream processing systems or message brokers
- Some professional experience with both Agile processes and DevOps best practices
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Experience with public cloud platforms like AWS, GCP or Azure
- Familiarity with BI tools (e.g. Looker, Mode, Tableau) and experience sharing data insights via reports and dashboards
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.
REQ-015579
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 [email protected]. 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.
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Date Posted
12/09/2023
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14
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