Bloomberg
Senior Data Management Professional - Data Engineering - Corporate Actions
$110K–$190K
Princeton · Senior · Full-time · Posted Oct 28, 2026
- Experience
- 3+ years in Data Engineering or technical Data Management.
- Education
- Bachelor’s Degree or Master’s Degree in Computer Science, Data Engineering, Information Systems, Quantitative Finance, or an equivalent quantitative discipline.
About the job
Build and evolve scalable data pipelines and AI-enabled workflows to extract, validate, and deliver equity corporate actions data.
What you'll do
- Design and optimize high-throughput ETL pipelines, data architectures, and ingestion frameworks for financial data.
- Apply AI, LLMs, NLP, and machine learning to extract and enrich corporate actions data, with validation and human-in-the-loop workflows.
- Build data quality monitoring and observability solutions, and collaborate with cross-functional teams on data products.
What they ask for
- Bachelor’s or Master’s degree in a stated quantitative discipline, or equivalent quantitative discipline.
- 3+ years of hands-on experience in Data Engineering or technical Data Management, including production ETL/ELT pipelines.
- Advanced proficiency in Python and complex SQL/NoSQL database engineering.
- Hands-on AI/LLM and machine learning experience for document processing and automated information extraction.
Nice to have
- Direct experience with US Equity Corporate Actions and equity reference data.
- CDMP or DCAM certification; experience with human-in-the-loop tooling is also welcomed.
Pay
110,000 - 190,000 USD Annual (base salary)
Tools
Python, Pandas, PySpark, SQL/NoSQL, LangChain, LlamaIndex, Hugging Face
AI focus
Use AI, LLMs, NLP, and machine learning to extract, normalize, enrich, and validate structured and unstructured financial data, with human-in-the-loop workflows.
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