Data Engineer, Dow Jones
2-3 days a week in office
Business news and financial information publishing
Open for applications
Business news and financial information publishing
1001+ employees
Open for applications
2-3 days a week in office
1001+ employees
Company mission
To deliver trusted news and data to help businesses and society make decisions for a better future.
Role
Who you are
- Degree in computer science, related technical field, or equivalent experience
- Minimum of 3+ years of experience in data management technologies (Microsoft SQL Server, Postgres, Snowflake)
- Experience with advanced SQL coding and data modeling to integrate systems
- Experience writing Python or PySpark for ML processing, data analysis, and automation
- Experience in BI visualization development such as Power BI, Tableau, or Looker
- Ability to write SQL queries and statements to explore source data and data issues
- Working knowledge of cloud data technologies and architecture
- Working knowledge of Big Data technologies such as Spark, AWS EMR
- Working knowledge of building CI/CD pipelines for code deployment
- Must speak and write in English fluently; Effective communicator
- A strong analytical thinker with a love for planning and organization who can manage competing demands with minimal supervision
- A self-starter with a never-ending curiosity to learn and solve problems
- A critical thinker, with mad problem-solving skills
- A team player with great interpersonal and communication skills
- A structured developer, with good time-management skills
- Degrees, Certifications, and/or awards/recognition that you have achieved
- Knowledge of SDLC, Agile methodology and/or SCRUM
- Experience working with scripts under source control (Git/TFVC/Mercurial/Svn/etc)
- Experience being part of a continuous integration and deployment process
- Experience using AI, ML, and Data Science tools
What the job involves
- As an experienced and solution-oriented Senior Data Engineer, you will design and develop database and ML architecture to process large data volumes and operationalize complex ML models.
- You'll optimize and automate data pipelines using SQL and Python to integrate data across disparate sources. You will also develop back-end integrations between BI tools and data sources, deploy ML code using AWS and CI/CD pipelines, and support AI, ML, and analytics solutions
- Working within an Agile team, you will be a leader coaching, mentoring, and training team members, driving both employee and team development and growth
- The OPIS Data Science & Analytics team is a collaborative group of Data Scientists, Data Analysts, and Data Engineers dedicated to tackling intricate data challenges. Our team leverages extensive industry knowledge, robust analytical skills, and a practical approach to address our organization's most complex business dilemmas
- The team focuses on developing and deploying AI, ML, and data science solutions. This is a unique opportunity to join a fast-growing team that will become an important part of the global OPIS team
- You will work closely with the OPIS IT HQ based in Gaithersburg, US, Romania, Poland, and with your remote colleagues
Our take
Dow Jones is a global leader in news and business intelligence, powering a range of well-respected brands, including The Wall Street Journal, Financial News, MarketWatch, and more. The company delivers its content to consumers through a range of formats, such as print, digital, mobile, and live events.
As companies seek to draw Millennials and Gen Z consumers to their platforms, adaptability is vital, since they are driving the demand for innovative tools and techniques, as the world evolves toward the digital-first era. Dow Jones has proven its ability to meet product optimization challenges with its reimagined Factiva offering that includes a list of new features, such as personalized results, an easy-to-use modern interface, and faster free-text search, all with a mobile-first design that adapts to any device.
The company has also focused on new product innovation by expanding its portfolio of capabilities and partnerships, further expanding into AI-powered personalization technologies and ongoing digital transformation. Already a powerhouse in the market, Dow Jones is well set to capitalize on future expansion and innovation opportunities and between 2019 and 2024, doubled its digital subscription base from 2.43 million to 4.86 million.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Company HQ
Theater District, New York, NY
Leadership
Almar Latour
(CEO, not founder)Before becoming the CEO of Dow Jones and Publisher of The Wall Street Journal, they were the Publisher of Barron’s Group and Executive VP of Dow Jones. They were also the previous Executive Editor of The Wall Street Journal.
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