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.
Job Description:
The Wall Street Journal is looking for a Senior Data Engineer who will develop tools and infrastructure to empower the newsroom with insights and data. You will be an important force in bolstering the newsroom’s data capacities as we continue to expand our use of data and increase our focus on our audience and what’s known about them.
We are looking for a full-stack data engineer who will be primarily responsible for building, enhancing and maintaining new and current data products that drive audience analytics and insights. You should have thought leadership when approaching technical challenges and an ability to mentor more junior team members.
As a member of the News Insight team, you will work closely 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 News Insights and Dow Jones’ DataSET team. Importantly, you will work directly with other engineers, product managers and program managers who collectively work on our internal data products.
You will report to the Chief of Data Science, who leads our News Insights team. While you may be asked to start work remotely, the job will eventually be based in our New York office.
You will:
Unlock new datasets and data assets, and create and maintain data pipelines
Deploy data and insights to editors in the newsroom
Work closely with data scientists to enable the training, deployment, monitoring and maintenance of machine learning models
You have:
Strong familiarity and experience with ingestion, streaming and batch processing, data infrastructure design and data analytics
Top-notch understanding of basic statistics and issues surrounding data quality
Experience building infrastructure required for optimal extraction, transformation and loading of data from diverse data resources
Experience running and supporting production of enterprise data platforms
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
Three or more years of data engineering experience
Experience working with digital media content tracking across websites and mobile applications is preferred
Exposure to, or direct experience with, implementing machine-learning-driven product features or tools will set you apart as a candidate
LI-JA1-WSJ
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 TalentResourceTeam@dowjones.com. Please put “Reasonable Accommodation" in the subject line.
Business Area: NEWS/WSJ
Job Category: IT Development Group
Union Status:
Non-Union / No clear and likely Internal Candidate (Employee Only) has been identified
Req ID: 24926