Position: Senior Data Engineer

Location: Barcelona, New York, New Jersey, London

Department: Technology

About the Role

Dow Jones is seeking an experienced Machine Learning Engineer to join our AI Engineering Team. In this role, you will be responsible for developing, deploying, and maintaining machine learning models that are scalable, reliable, and production-ready. You will work closely with cross-functional teams to integrate these models into software systems, ensuring they deliver actionable insights and operational value.

As a key member of the team, you will focus on optimizing models for real-world performance, building efficient data pipelines, and implementing monitoring systems to ensure ongoing reliability. Your expertise in machine learning frameworks, system integration, and model optimization will be crucial in driving the success of our AI initiatives.

Responsibilities:

• Collaborate with data scientists and ML engineers to design, develop, and maintain end-to-end data pipelines for extraction, transformation, loading (ETL), and storage.

• Develop machine learning solutions and models that address real-world challenges in the media domain that positively impact users globally.

• Ensure machine learning systems are production-ready by balancing accuracy, latency, and cost while meeting performance goals.

• Understanding of machine learning models, techniques and metrics which allow to engage in conversations with data scientists.

• Identify and troubleshoot issues related to production systems, which includes APIs and pipeline performance, applying problem-solving skills.

• Communicate effectively with stakeholders and data providers to gather requirements and ensure project alignment.

• Stay updated with industry trends, emerging technologies, and best practices in data engineering and ETL processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.

• At least 3 years of industrial experience in a machine learning engineering role

• Solid understanding of data processing techniques, including extraction, transformation, and loading (ETL).

• Experience with cloud-based infrastructure and services (e.g., AWS, GCP, etc.).

• Familiarity with database systems, including SQL and NoSQL databases.

• Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)

• Excellent problem-solving skills and attention to detail in identifying and troubleshooting issues.

• Strong communication and collaboration skills to work effectively with team members and stakeholders.

• Continuous learning mindset with a willingness to stay updated with industry trends and best practices.

• Familiar with API design and implementation to provide ML/AI services

Our Benefits

• Comprehensive Insurance Plans

• Paid Time Off

• Family Care Benefits

• Access to Dow Jones Products

• Subscription Discounts

• Employee Referral Program

• Employee Well-being Support & Fitness Programs

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/AA/M/F/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. 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, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area: Dow Jones - Technology

Job Category: Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

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.

Req ID: 42352