2 months ago
Base Salary
$110k - $190k/yr
Responsibilities
- Design, build, and optimize scalable pipelines for ingesting, transforming, and delivering high-volume financial data.
- Develop data architectures, schema designs, and automated ingestion frameworks for structured and unstructured sources.
- Apply AI, LLMs, NLP, and machine learning to extract, normalize, and enrich corporate actions data.
- Implement Human-in-the-Loop workflows, automated validation, business rules, statistical methods, and exception management.
- Create data quality dashboards, pipeline health metrics, monitoring, reporting, and SLA observability solutions.
- Collaborate with Product, Engineering, Data Science, and business stakeholders to deliver scalable data products and engineering standards.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, Quantitative Finance, or an equivalent quantitative discipline.
- At least 3 years of hands-on experience in data engineering or technical data management, including production ETL/ELT pipelines.
- Advanced Python proficiency, including Pandas, PySpark, or standard data manipulation libraries, and complex SQL/NoSQL database engineering.
- Hands-on experience applying AI/LLMs and machine learning to structured and unstructured document processing and automated information extraction.
- Experience with workflow orchestration, message streaming, distributed computing, and object storage technologies.
- Strong data modeling and schema design skills, numerical proficiency, problem-solving ability, attention to detail, and communication skills.
- Preferred qualifications include US equity corporate actions and reference data experience, CDMP or DCAM certification, Human-in-the-Loop tooling experience, and familiarity with Agile, backlog management, and data governance frameworks.
Benefits
- Annual base salary range of $110,000–$190,000 USD, plus benefits and bonus.
- Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability, 401(k) match, life insurance, and wellness programs.
Categories
AI ApplicationsData Engineering
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.