Senior Data Management Professional - Data Engineer, Code Generation
Location New York
Business Area Data
Ref # 10050568
Description & RequirementsBloomberg 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 workflow efficiencies, implement technological solutions to enhance our systems, products, and processes, and provide support to our clients.
Our Team:The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. The Code Generation Data Team provides strategic data management solutions for AI/ML systems that perform code generation. We partner closely with cross functional team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products.
What's the Role?As a Data Engineer on the team, you will take ownership of the underlying technical assets that power annotation projects. You'll develop ETL pipelines that ensure data is delivered on time and high quality. You will design, build, and maintain dashboards that analyze annotation performance and data quality, enabling the team to track progress, identify issues, and make informed decisions. This role is approximately 60% building the data pipelines and dashboards, 25% annotation project design and build, and 15% stakeholder coordination.
We'll Trust You To:- Build and maintain ETL pipelines for training and evaluation datasets
- Design and build annotation projects to manufacture data for model train/eval
- Develop dashboards to monitor annotation accuracy, throughput, and drift
- Optimize workflows for data acquisition, labeling, and quality control
- Partner with the broader cross functional team on requirements and prioritization
You'll Need to Have:- 4+ years in data engineering (Python, SQL)
- Experience building ETL/data pipelines at scale
- Experience with data modeling and data quality systems
- Experience working with ML/AI datasets or experimentation workflows
- Experience leading cross-functional data or ML/AI projects
We'd Love to See:- Deep subject matter expertise within a chosen financial domain
- Experience with developing data foundations for ML/AI systems
- Experience in semantic structures or large scale data modeling
- Experience using data visualization tools such as Tableau, QlikSense, or PowerBI
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include 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, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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