Senior Data Engineer, AI Pipelines & Data Quality

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

Benefits offered by this job

Health, dental, vision benefits

401(k) with company match

Wellness programs

Job summary

Bloomberg, a data-centric technology leader, seeks a Senior Data Management Professional - Data Engineering (Data AI) to build scalable data pipelines and support AI-enabled products. You will craft robust data platforms, ensure data quality, and partner with Product, Engineering, and Data teams to enable reliable AI workflows.

The role emphasizes automation, observability, and scalable infrastructure within Bloomberg’s Data AI initiative, with a focus on high-quality data for analytics and

Qualifications

• 3+ years in data engineering (Python, SQL).
• Experience building ETL/data pipelines at scale.
• Experience with data modeling and data quality strategies.
• Experience with ML/AI datasets or experimentation workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines for data collection, annotation, training, evaluation, analytics, and reporting.
• Develop and operate dataset management, storage, versioning, and lifecycle governance for reliable AI workflows.
• Implement monitoring and alerting for data quality, system health, and performance.

Skills

Python

SQL

ETL pipelines

Data modeling

ML/AI datasets

Stakeholder mgmt

Tools

Tableau

PowerBI

QlikSense

Job description

Bloomberg, a data-centric technology leader, seeks a Senior Data Management Professional - Data Engineering (Data AI) to build scalable data pipelines and support AI-enabled products. You will craft robust data platforms, ensure data quality, and partner with Product, Engineering, and Data teams to enable reliable AI workflows.

The role emphasizes automation, observability, and scalable infrastructure within Bloomberg’s Data AI initiative, with a focus on high-quality data for analytics and