Job Information
Bloomberg Senior Data Management Professional - Data Engineer, Code Generation in New York, New York
Senior Data Management Professional - Data Engineer, Code Generation
Location
New York
Business Area
Data
Ref #
10050568
Description & Requirements
Bloomberg 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 = 110000 - 190000 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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Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net