Dow Jones seeks an experienced Data Engineer for their AI Engineering Team to design, develop, and maintain robust data pipelines for machine learning and AI use cases. The ideal candidate will have strong technical skills in data engineering, cloud infrastructure, and machine learning technologies, with a focus on creating scalable and efficient data solutions.
This role involves designing and developing end-to-end data pipelines for extraction, transformation, loading (ETL), and storage, working closely with data scientists and ML engineers to ensure data quality and consistency across complex data retrieval and processing tasks.
The candidate must have at least 3 years of industrial data engineering experience, with expertise in cloud services like AWS or GCP, proficiency in data pipeline tools like Airflow, familiarity with machine learning frameworks, and strong skills in SQL and NoSQL database management.
Dow Jones offers comprehensive benefits including insurance plans, paid time off, family care benefits, product access, subscription discounts, employee referral programs, and professional development opportunities in a dynamic technology environment that drives digital innovation.
