Senior Data Management Professional - Data Engineer - Company Financial Market Data

at Bloomberg
📍 Princeton, United States
USD 110,000-190,000 per year
SENIOR
✅ On-site

Used Tools & Technologies

NLP AI

Required Skills & Competences

Python @ 4 ETL @ 4 Machine Learning @ 4 Communication @ 4 Data Engineering @ 4 HTML @ 3 FinTech @ 6 JSON @ 3 Project Management @ 7 Reporting @ 4 .NET @ 4 Observability @ 4 Data Modeling @ 6

Details

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 world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Role overview

The Company Financials Markets team is seeking a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You will drive workflow strategies, deliver best-in-class user and technical workflows, and incorporate human-in-the-loop approaches into automation pipelines to shape Company Financials products. You will work closely with Product Development & Technology (PD&T), Product Managers, Engineering teams, Company Financials industry teams, and cross-functional partners.

Responsibilities

  • Develop data-driven strategies that balance technical, product, financial and market knowledge, and collaborate with engineering and product teams to craft solutions.
  • Own reliable and efficient workflows around exchanges and 3rd party data providers, including document acquisition and processing of structured and unstructured content, utilizing programming, machine learning and human-in-the-loop approaches.
  • Design, build and maintain high-volume, low-latency ETL pipelines and manage the data lifecycle.
  • Analyze workflows to identify observability checkpoints; design and build monitoring, reporting and alerting solutions across markets.
  • Analyze market-specific workstreams to identify opportunities for improvement or consolidation using Bloomberg's proprietary or open-source stacks.
  • Communicate and collaborate across teams (Engineering, Product, Bloomberg Intelligence) and stakeholders.
  • Develop interconnected data models enabling cross-dataset analysis and perform statistical analysis.

Requirements

  • Minimum 3+ years of experience in the financial/fintech services industry (exchanges, market data providers, financial technology institutions) and/or a data engineering role or related fields (data quality, data modeling, data architecture).
  • Demonstrated experience working with Python in development or production environments.
  • Experience implementing high-volume, low-latency ETL pipelines and managing data lifecycle.
  • Familiarity with various databases, schemas and modeling, and with structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV).
  • Strong project management skills and ability to prioritize and adapt tasks with a customer-focused mentality.
  • Powerful collaboration skills across departments and regions; excellent written and verbal communication skills.
  • Demonstrated continuous career growth within an organization.

Nice to have

  • Advanced degree/Master’s degree in Finance or STEM and/or CFA designation (or working towards it).
  • Experience with Bloomberg Company Financials products, specific market/exchange expertise, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows.
  • Familiarity with advanced statistical methods (Machine Learning, Artificial Intelligence, Natural Language Processing).
  • Experience designing optimal database structures.

Compensation & Benefits

  • Salary range: 110000 - 190000 USD annually, plus benefits and bonus.
  • Comprehensive benefits potentially including merit increases, incentive compensation (exempt roles), paid holidays, paid time off, medical, dental, vision, short and long term disability, 401(k) with match, life insurance, and wellness programs. (Contingent workers/contractors and interns do not receive benefits.)

Location & Application