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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management Professional - **Company:** Bloomberg L.P. - **Location:** United States - **Experience:** Expert - **Salary:** $110,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** HTML, Artificial Intelligence, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Database Storage Structures, Xbrl, Information Lifecycle Management, JSON, Python (Programming Language), Machine Learning, Natural Language Processing, Object-Oriented Software Development, Open Source Technology, Data Analytics, Data Management - **Published:** August 29, 2026 - **Apply:** https://www.dice.com/job-detail/4c62a841-bd3a-4b5b-93c8-0d4d5a3a5e4f ## About the Role The Company Financials Markets team is looking for 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 are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpos e Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients., * Minimum 4+ years of experience in the financial/fint ech 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 We would love to see: * 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/exchang e, 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 ## Description * 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/uns tructured contents processing, utilizing programming, machine learning and/or human-in-the-l oop approaches. * Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpos e 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. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. 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