Data Engineer, Newsroom Data Products

    • New York, NY

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Job Description:

The Wall Street Journal seeks a data engineer who will be responsible for developing tools and infrastructure to empower the newsroom with insights and data. The Journal is expanding its use of data as the newsroom increases its focus on its audience and what's known about them, and this engineer will be an important force in bolstering the newsroom's data capacities.

The Wall Street Journal is expanding its use of data in both editorial and audience-related projects, and it seeks 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 datasets we want, have and need. As a member of the News Insight team, this role will work closely in collaboration with our data scientists, editors, and strategy leads as we build internal data products for the newsroom.

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 a strong background in managing data processes that inform content optimization. This role is well suited for a talented engineer with a strong understanding of newsroom workflow, and passion for helping journalists connect with their audiences.

Skills:

  • 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
  • Experience working with one or more modern data engineering tools across ingestion, batch & streaming processing, and data stores.
  • Knowledge of Python, Bash, Git, and SQL; knowledge of Java/Scala a plus.
  • Building data pipelines with tools and cloud-based data services like Google's BigQuery and AWS
  • 2 or more years of data engineering experience
  • Strong understanding of statistics and issues surrounding data quality

This position reports to the Chief of Data Science, who leads our News Insights team.

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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 .

Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com . Please put "Reasonable Accommodation" in the subject line.

Business Area: NEWS/WSJ

Job Category: IT Development Group

About Us

Since 1882, Dow Jones has been finding new ways to bring information to the world's top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron's, MarketWatch and Financial News.

This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.

If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you.

Req ID: 20250


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