Bloomberg
Senior Data Management Professional - Data Engineering - Municipals
Bloomberg, PRINCETON, NJ
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 optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to better manage our data.
The Team:
Our Bloomberg Municipal New Issues team is responsible for the timely and accurate updates on new municipal bonds coming to market, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, and finding opportunities to expand data sets. Our New Issues team also works closely with internal stakeholders including the Engineering, Core Product, News, Enterprise, Evaluated Pricing, and Index teams.
What's the Role?
A Senior Data Management Professional is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, designing data architectures, ensuring data quality, and using various techniques, including programming and statistical methods, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach.
We trust you to:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
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 provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER[redacted] (Americas), EMEA[redacted] (Europe, the Middle East and Africa), or APAC[redacted] (Asia-Pacific), based on the region you are submitting an application for.
The Team:
Our Bloomberg Municipal New Issues team is responsible for the timely and accurate updates on new municipal bonds coming to market, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, and finding opportunities to expand data sets. Our New Issues team also works closely with internal stakeholders including the Engineering, Core Product, News, Enterprise, Evaluated Pricing, and Index teams.
What's the Role?
A Senior Data Management Professional is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, designing data architectures, ensuring data quality, and using various techniques, including programming and statistical methods, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach.
We trust you to:
- Build and maintain robust and scalable ETL data pipelines to support the ingestion, transformation, and loading of vast amounts of data from various sources using Bloomberg tech stack components
- Devise data quality strategies across various data workflows and oversee its governance
- Devise and implement data acquisition strategies for data fields from diverse and disparate, structured and unstructured sources
- Set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of municipal data
- Design producer database structures optimized for our specific use cases
- Analyze internal processes to find opportunities for improvement and process engineer efficient and innovative workflows using programmatic machine learning approaches
- Use your deep understanding of municipal markets and data, to create comprehensive and transparent solutions that fits the use case of our internal and external clients
- Understand clients' and markets' needs on each municipal data field to extract and maintain it
- Collaborate with partners in creating data manipulation frameworks and establishing standard methodologies using Bloomberg's tech stack
- Apply your proven project management skills to ensure all technical projects are on track with right requirements
- Be responsive, resourceful, flexible, and an excellent collaborator
- Partner with our Product, Technology, and Data Management Lab team to ensure consistent principles are leveraged, tools are fit for purpose, and results will be measurable
- Balance the best of technical and product knowledge to craft solutions for customers
- 4+ years of programming and scripting in a production environment (Python, Javascript, etc)
- Demonstrated experience in data management and experience in building ETL pipelines
- Bachelor's degree or equivalent experience in Computational Linguistics, Computer Science, Quantitative Finance, or a related Technical field or background
- 4+ years experience or experience related to ingesting and normalizing data
- Proficient in using Tech Stack such as Amazon S3, Python Microservices or Bloomberg Tech Stack in production environment
- Exceptional problem-solving skills, numerical proficiency, and high attention to detail
- Ability to work independently as well as in a distributed team environment
- Ability to optimally communicate and present concepts and methodologies to diverse audiences
- Data Management Association Certified Data Management Professional, Data Capability Assessment Model certification
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
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 provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER[redacted] (Americas), EMEA[redacted] (Europe, the Middle East and Africa), or APAC[redacted] (Asia-Pacific), based on the region you are submitting an application for.