Data Engineer: AI Pipelines & Scalable Data Platforms

Bloomberg; Princeton (NJ); On-site; USD 110,000 - 190,000; Full time

Job summary

Bloomberg is seeking a Data Engineer in Princeton to build and evolve data pipelines, datasets, and tooling powering AI-enabled products. You will enable reliable data collection, annotation, training, and evaluation while improving data quality and workflow efficiency.

The role requires a Bachelor’s in a related field, 3+ years of data engineering experience with Python/SQL, and hands-on ETL/data-pipeline work at scale. Competitive salary and comprehensive benefits offered.

Qualifications

• 3+ years in data engineering (Python, SQL).
• Experience building ETL/data pipelines at scale.
• Experience with data modeling and developing proactive data quality strategies that ensure data is fit for purpose.
• Experience working with ML/AI datasets or experimentation workflows.
• Excellent problem-solving and analytical thinking skills with strong attention to detail.
• Proven track record of stakeholder relationship management, communication, and cross-team collaboration.

Responsibilities

• Design, build, and maintain scalable data pipelines that support data collection, annotation, training, evaluation, analytics, and reporting workflows.
• Develop dataset management, storage, versioning, and lifecycle governance to ensure reliable and reproducible AI workflows.
• Implement monitoring, observability, and alerting capabilities that provide visibility into data quality, system health, and operational performance.
• Build dashboards, tooling, and self-service capabilities that improve transparency, efficiency, and decision-making across data operations.
• Partner with Product, Engineering, and Data teams to evolve the infrastructure and platforms supporting AI-enabled products and workflows.
• Identify bottlenecks and opportunities for automation, delivering scalable solutions that improve reliability, consistency, and operational efficiency.

Skills

Python

SQL

ETL pipelines

Education

Bachelor’s degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications

Job description

Bloomberg is seeking a Data Engineer in Princeton to build and evolve data pipelines, datasets, and tooling powering AI-enabled products. You will enable reliable data collection, annotation, training, and evaluation while improving data quality and workflow efficiency.

The role requires a Bachelor’s in a related field, 3+ years of data engineering experience with Python/SQL, and hands-on ETL/data-pipeline work at scale. Competitive salary and comprehensive benefits offered.