Jobs at Dow Jones

297,045 open positions

Dow Jones, the publisher behind The Wall Street Journal and other flagship financial news platforms, has evolved into a technology-driven media enterprise. It leverages advanced data pipelines, AI-driven content recommendation, and real-time market analytics to deliver high‑quality journalism. Its tech teams power everything from the WSJ’s mobile app to proprietary trading dashboards.

Software engineers, data scientists, product managers, UX designers, security analysts, and DevOps specialists are common hires at Dow Jones. Candidates can expect rigorous technical interviews that test algorithmic thinking, system design, and domain knowledge in finance. The company values cross‑functional collaboration, continuous learning, and a culture that rewards data‑driven decision making.

Checking Dow Jones listings on Job Transparency gives applicants an edge: you see exact salary ranges, employee sentiment scores, and benefit summaries before you apply. This transparent salary data helps you benchmark against market rates, negotiate confidently, and choose roles that align with your career goals.

No open positions at Dow Jones right now.

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Frequently Asked Questions

What is it like to work at Dow Jones?
Working at Dow Jones means being part of a global newsroom that blends journalism with cutting‑edge technology. Employees collaborate with data scientists and developers to build products that deliver real‑time market insights. The culture encourages experimentation, offers flexible remote options, and rewards contributions that improve the WSJ’s digital experience.
What types of positions are available?
Dow Jones lists roles across software engineering, data science, product management, UX/UI design, cybersecurity, DevOps, and analytics. Positions range from entry‑level developer to senior product lead, catering to a spectrum of experience levels.
How can I stand out as an applicant?
Stand out by showcasing domain knowledge in finance, demonstrating proficiency with modern tech stacks (Python, Java, AWS, Kubernetes), and presenting a portfolio of relevant projects. Highlight experience with data pipelines, real‑time analytics, or AI models, and tailor your resume to reflect the specific technical challenges mentioned in the job description.

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