1 month ago
Base Salary
$110k - $190k/yr
Responsibilities
- Design, build, and maintain scalable data pipelines supporting data collection, annotation, training, evaluation, analytics, and reporting workflows.
- Develop and operate systems for dataset management, storage, versioning, and lifecycle governance.
- Implement monitoring, observability, and alerting for data quality, system health, and operational performance.
- Build dashboards, tooling, and self-service capabilities for data operations.
- Partner with Product, Engineering, and Data teams on infrastructure and platforms for AI-enabled products and workflows.
- Identify bottlenecks and automate processes to improve reliability, consistency, and operational efficiency.
Requirements
- Bachelor’s degree in Finance, Business, Economics, Accounting, or STEM, or degree-equivalent qualifications.
- At least 3 years of data engineering experience using Python and SQL.
- Experience building ETL and data pipelines at scale and creating data collection frameworks for structured and unstructured data.
- Experience with data modeling and proactive data quality strategies.
- Experience working with ML/AI datasets or experimentation workflows.
- Strong problem-solving, analytical thinking, attention to detail, stakeholder relationship management, communication, and cross-team collaboration skills.
- Preferred qualifications include familiarity with generative AI frameworks and Agentic AI requirements, semantic structures or large-scale data modeling, Tableau, QlikSense, or PowerBI, annotation programs, ML/NLP training and evaluation datasets, and financial markets or news domain expertise.
Benefits
- Salary range of $110,000–$190,000 USD annually, plus benefits and bonus.
- Benefits may include merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short- and long-term disability, 401(k) match, life insurance, and wellness programs.
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.