Bloomberg · 9 hours ago
Senior Data Management Professional - Data Engineer - Company Financial Market Data
Montgomery, NJ
Full-time
Onsite
Mid, Senior Level
$110K/yr - $190K/yr
3+ years expBloomberg is a global leader in financial data and analytics, and they are seeking a Senior Data Management Professional to develop data-driven strategies and workflows. This role involves collaborating with various teams to enhance financial products through effective data management and technical solutions.
AnalyticsBusiness Information SystemsFinancial ServicesInformation ServicesNews
Responsibilities
Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches
Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets
Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks
Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
Develop interconnected data models that enable analysis across datasets and develop statistical analysis
Qualification
Required
Minimum 3+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
Demonstrated experience working with Python in development or production environment
Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
Demonstrated continuous career growth within an organization
Excellent written and verbal communication skills
Preferred
Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
Experience designing optimal database structures
Benefits
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
Various wellness programs
Company
Bloomberg
Bloomberg provides news, data, analytics, and communication services for the global business and financial world.
10001+ employees
H1B Sponsorship
Bloomberg has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (496)
2024 (382)
2023 (363)
2022 (426)
2021 (442)
2020 (588)
Funding
Current Stage
Late StageLeadership Team
David Rosenberg
Head of Machine Learning Strategy, CTO Office
Nabil Bitar
CTO - Head of Network Architecture
Recent News
2026-02-06
2026-02-03
2026-01-21
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