Bloomberg
Senior Data Management Professional - Data Engineering (Data AI)
$110K–$190K
New York · Senior · Full-time · Posted Oct 28, 2026
- Experience
- 3+ years in data engineering.
- Education
- Bachelor’s degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications.
About the job
Build data infrastructure, pipelines, and operational tools for scalable AI and data workflows at Bloomberg.
What you'll do
- Build and maintain pipelines and systems for data collection, annotation, training, evaluation, and dataset lifecycle management.
- Implement monitoring, observability, alerting, dashboards, and self-service tools to improve data quality and operational efficiency.
- Partner across Product, Engineering, and Data teams to evolve AI-enabled platforms and automate workflows.
What they ask for
- Bachelor’s degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications.
- 3+ years in data engineering (Python, SQL).
- Experience building ETL/data pipelines at scale and data collection frameworks for structured and unstructured data.
- Experience with data modeling, proactive data quality strategies, and ML/AI datasets or experimentation workflows.
Nice to have
- Interest in or familiarity with generative AI frameworks and the requirements of Agentic AI.
- Experience in semantic structures or large-scale data modeling, data visualization tools, annotation programs, or financial markets/news.
Pay
110,000 - 190,000 USD Annual (base salary) + Benefits + Bonus
Tools
Python, SQL, Tableau, QlikSense, PowerBI
AI focus
Build infrastructure and workflows for AI datasets, including collection, annotation, training, and evaluation; generative AI frameworks and Agentic AI are mentioned as preferred familiarity.
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