Senior Machine Learning Data Engineer, Dow Jones
Business news and financial information publishing
Open for applications
Business news and financial information publishing
1001+ employees
Open for applications
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
- At least 3 years of industrial experience in a data engineering role
- Experience with cloud-based infrastructure and services (AWS, GCP preferred)
- Experience in designing and implementing end-to-end data pipelines for ML/AI use cases. Preferably in Airflow or GCP Cloud Composer
- Ability to work with APIs to retrieve data from external sources or integrate with third-party services
- Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)
- Experience with working on Jenkins and/or Docker
- Familiarity with database systems, including SQL and NoSQL databases
- Bachelor's Degree or higher in Computer Science, Computer Engineering, Data Science or related STEM field preferred
- 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
What the job involves
- Dow Jones is seeking an experienced Data Engineer to join our AI Engineering Team
- You will be responsible for designing, developing, and maintaining robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage
- You will collaborate within our team to ensure the efficient and reliable retrieval of data, enabling seamless integration with downstream systems for analysis and decision-making
- As a key team member, you will play a crucial role in operationalizing data solutions to meet our organization's needs and deliver tangible value
- You will leverage your strong data engineering skills to develop robust, secure, and scalable data pipelines, utilizing your expertise in data retrieval and processing techniques
- This position will report to the Associate Director, Data Science
- Collaborate with data scientists and ML engineers to design, develop, and maintain end-to-end data pipelines for extraction, transformation, loading (ETL), and storage
- Clean, transform, and structure data using industry-standard techniques, ensuring quality and consistency
- Work with APIs to retrieve data from external sources or integrate with third-party services, adhering to best practices
- Manage and optimize SQL and NoSQL database systems for data storage, ensuring integrity and performance
- Automate data fetching, processing, and storage by implementing data pipelines for ML/AI use cases, leveraging ETL principles
- Identify and troubleshoot issues related to data quality 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 for Machine Learning
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
Company
Company HQ
Theater District, New York, NY
Articles
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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