The Wall Street Journal is the most trusted news organization in America and the best source of news and analysis for ambitious people. Our reporters, editors, developers, and audio and visual journalists around the world create important and impactful stories, firmly rooted in fact and adhering to the highest ethical standards. We report without fear or bias, and we maintain a proper sense of perspective, detachment and objectivity in our reporting. We're using the latest technology to develop new ways of publishing our journalism on a variety of platforms, experimenting with augmented reality and cutting-edge video and mobile storytelling formats. We’re looking for great journalists and innovative minds to join our newsroom as we continue to tell the important stories and further reinvent our journalism for digital priorities.
The Wall Street Journal seeks a data engineer who will be responsible for developing tools to help the newsroom in its data science work. The Journal is expanding its use of data in both editorial and audience-related projects, and this engineer will be an important force in bolstering the newsroom’s data capacities.
The Journal is seeking a full-stack data engineer who will be responsible for (1) acquiring new datasets, (2) creating and maintaining data pipelines, (3) deploying data and insights to editors in the newsroom, and (4) building prototypes of tools for editors and newsroom staffers.
This role is responsible for making and maintaining a data pipeline for all the data sets we want, have and need. This is a function tied to the newsroom’s top-level strategy, working in collaboration with the Audience group, the R&D Lab and the broader newsroom. The engineer will collaborate with data scientists and work directly with a number of highly sophisticated audience and content data sets. The engineer will also help with rapid prototyping and testing of newsroom data tools as well as help maintain ones that are successful.
We are looking for someone with deep knowledge of audience behavior around common journalism types, like breaking news and enterprise journalism, as well as experience in newsroom tools and data dashboards. The data engineer should have strong background in A/B testing as well as managing data processes that inform content optimization. This role is suited for a talented engineer with a strong understanding of newsroom workflow and a passion for helping journalists connect with their audiences.
Experience running and supporting production of enterprise data platforms
Experience creating internal tools that combine content and audience data
Experience in building infrastructure required for optimal extraction, transformation and loading of data from various resources
Build data pipelines with tools and cloud-based data services like Google’s BigQuery, AWS, Dataproc and Pub/Sub
5+ years of data engineering experience
Strong statistics skills
This position reports to The Wall Street Journal’s Head of Data Solutions.
Dow Jones , Making Careers Newsworthy
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .
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Business Area: NEWS/WSJ
Job Category: IT Development Group
The Wall Street Journal is a global news organization that provides leading news, information, commentary and analysis. The Wall Street Journal engages readers across print, digital, mobile, social, and video. Building on its heritage as the preeminent source of global business and financial news, the Journal includes coverage of U.S. and world news, politics, arts, culture, lifestyle, sports, and health. It holds 36 Pulitzer Prizes for outstanding journalism. The Wall Street Journal is published by Dow Jones, a division of News Corp (NASDAQ: NWS, NWSA; ASX: NWS, NWSLV).
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