Senior Data Management Professional Data Engineering Corporate Actions

Bloomberg

Job Location:

Princeton, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Data Management Professional - Data Engineering - Corporate Actions

Location

Princeton

Business Area

Data

Ref #

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients around the clock - from around the Data we are responsible for delivering this data news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems products and processes. Our Team:

Our team is responsible for the end-to-end data management of equity corporate actions data (including dividends stock splits and rights offerings) as well as equities reference data to offer a comprehensive product offering for our internal and external partners such as Enterprise Data Indices and News. Multi-functional collaboration deep domain knowledge thoughtful automation and data management expertise are paramount for our ability to continuously deliver high quality data to our rapidly growing client base. Equity Corporate Actions and Reference data serve as foundational building blocks across our overall offering supporting critical workflows for hundreds of thousands of financial market professionals across North America and global capital markets.

The Role:

We are seeking a highly motivated hands-on Senior Data Management Professional (DMP) - Data Engineering based in Princeton NJ to drive the technical evolution of our Equity Corporate Actions data this role you will act as a technical leader navigating ambiguity to solve complex data challenges and engineer scalable production-ready solutions.

This role is heavily focused on hands-on data engineering and the practical application of AI/LLMs for automated data extraction validation and transformation to enterprise grade data model. You will design build and maintain high-throughput ETL pipelines architect robust data models and deploy intelligent automation frameworks to ingest and parse structured and unstructured financial data at scale.

Well trust you to:

Design build and optimize scalable data pipelines to ingest transform and deliver high-volume financial data using Python SQL and modern enterprise data technologies including workflow orchestration distributed processing messaging frameworks and cloud-based data platforms.
Develop robust data architectures and automated ingestion frameworks that support structured and unstructured data sources enabling scalable high-performance data processing schema design and seamless interoperability across downstream systems.
Leverage AI Large Language Models (LLMs) NLP and machine learning to extract normalize and enrich Corporate Actions data (e.g. dividends stock splits rights offerings) from issuer filings regulatory disclosures news press releases exchange feeds and other complex data sources.
Implement intelligent Human-in-the-Loop (HITL) workflows and data quality frameworks that combine AI-driven extraction with automated validation business rules statistical methods and exception management to maximize accuracy completeness and operational efficiency.
Develop monitoring reporting and observability solutions by creating data quality dashboards pipeline health metrics and SLA monitoring capabilities that provide visibility into data integrity processing performance and operational effectiveness.
Partner cross-functionally with Product Engineering Data Science and business stakeholders to design scalable data solutions standardize engineering best practices and deliver high-quality data products that support trading analytics and client-facing applications.

Youll need to have:

Bachelors Degree or Masters Degree in Computer Science Data Engineering Information Systems Quantitative Finance or an equivalent quantitative discipline.
3 years of hands-on experience in a Data Engineering or technical Data Management role with a proven track record of building scalable ETL/ELT pipelines in a production environment.
Advanced technical proficiency in Python (Pandas PySpark or standard data manipulation libraries) and complex SQL/NoSQL database engineering.
Hands-on experience applying AI/LLMs and Machine Learning (e.g. LangChain LlamaIndex OpenAI APIs Hugging Face or custom NLP models) for structured/unstructured document processing and automated information extraction.
Demonstrated experience with modern data tech stacks including workflow orchestration engines message streaming platforms distributed computing frameworks and object storage systems.
Strong data modeling and schema design skills with experience creating structures optimized for analytical capabilities.
Exceptional problem-solving abilities numerical proficiency high attention to detail and strong communication skills to present technical concepts to diverse stakeholders.

Wed love to see:

Direct experience ingesting normalizing and processing exchange-disseminated US Equity Corporate Actions data (e.g. dividends stock splits rights offerings) and equity reference data.
Industry certifications such as Certified Data Management Professional (CDMP) or Data Capability Assessment Model (DCAM).
Experience designing Human-in-the-Loop operational tooling and exception management workflows.
Familiarity with Agile methodologies backlog management and modern data governance frameworks.

If this sounds like you:

Apply! If you think were a good match. Well get in touch to let you know the next steps!

Salary Range 00 USD Annual Benefits Bonus

The referenced salary range is based on the Companys good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location work experience market conditions education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases incentive compensation (exempt roles only) paid holidays paid time off medical dental vision short and long term disability benefits 401(k) match life insurance and various wellness programs among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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Required Experience:

Senior IC

Senior Data Management Professional - Data Engineering - Corporate Actions Lo...