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Dow Jones

We break stories, influence ideas, and advance business intelligence and cultural interest. We expose the events that turn markets, the digital breakthroughs that transform art, the demand that drives invention, as well as the political and societal passing moments and lasting consequences. We are the people of Dow Jones. From different fields, backgrounds and viewpoints we invite you to join us.

Examine the world and bring it to others.

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Job Information

Dow Jones Data Engineer, Newsroom Data Products in NEW YORK, New York

Job Description:

Dow Jones seeks a Data Engineer who will be responsible for developing tools and infrastructure to empower our newsrooms with insights and data, enabling brands like The Wall Street Journal, MarketWatch, and Barron’s to expand their use of data.

This role will join the Newsroom Data Platform team who continue to build out a best-in-class platform which helps our newsrooms increase their focus on audiences and what's known about them, making this role an important force in bolstering the newsrooms’ data capacities.

We are looking for a well rounded data engineer who will be primarily responsible for building, enhancing, and maintaining new and current data products which drive audience analytics and insights. This work may include: (1) unlocking new datasets and data assets, (2) creating and maintaining data pipelines, (3) deploying data and insights to editors in the newsroom, and (4) working closely with data scientists to enable the training, deployment, monitoring, and maintenance of machine learning models.

As a member of the Newsroom Data Platform 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. Day-to-day collaboration will happen with other data engineers within the team and Dow Jones’ broader data organization. Importantly, this role will work directly with other engineers, product managers, and program managers who collectively work on our internal data products.

Required experience, knowledge, and skills:

  • Strong familiarity and experience with ingestion, streaming and batch processing, data infrastructure design, and data analytics.

  • Excellent written and verbal communication skills, as well as top organizational, time management, and documentation skills.

  • Top-notch understanding of basic statistics and issues surrounding data quality

  • Experience in building infrastructure required for optimal extraction, transformation and loading of data from diverse data resources

  • Experience running and supporting production of enterprise data platforms.

  • Understanding and experience with relational and non-relational databases.

  • Experience building data pipelines in AWS (preferred) or GCP.

  • Proficiency in Scala, Python, Bash, Git, Spark, and SQL.

  • 2 or more years of data engineering experience is preferred, but candidates with less experience in data engineering may be successful depending on their general engineering background and/or relevant work in academic research.


  • Experience working with digital media content tracking across websites and mobile applications.

  • Exposure to, or direct experience with, implementing machine learning driven product features or tools.

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 .

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 Please put “Reasonable Accommodation" in the subject line.


Job Category: IT Development Group

Req ID: 29905