Senior Data Management Professional - Data Engineer - Alternative Investment Funds

Description & Requirements

Bloomberg runs on data, and as part of the Data team, we're responsible for acquiring it, providing it to our clients and helping derive significant insights out of it. We collect, analyze, process, and publish the data, which is the backbone of our iconic Bloomberg Terminal and our enterprise products - the facts and figures which ultimately move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products, and processes - and all this while providing platinum customer support to clients.

Our Team:

Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investment Funds data team brings together data specialists and technologists who are deeply engaged in private markets-spanning the entire lifecycle from fund launch to liquidation, seed round to IPO, and every data point in between.

The Alternative Investment Funds Data Engineers are a dynamic group of individuals who tackle the most challenging aspects of our data product including data pipelining, process engineering and driving innovation. Our Data Engineers possess a unique combination of technical skills, domain expertise and eye for business, as well as good communication and interpersonal skills. As such, we are looking for a highly motivated individual who is deeply curious about data and the technology that powers it.

The Role:

As a Data Engineer you will apply your problem-solving skills to handle the data pipelines, automation processes and human-in-the-loop workflows that feed our Private Funds and Hedge Funds Data Products. In addition to the data pipelining work, you will analyze our data from an operational as well as product standpoint. This might be by building the associated ETLs or by designing prototype applications with our product teams. You will be expected to lead projects, collaborate with Engineering and Product, and own the end-to-end delivery of your project.

We'll trust you to:

• Design, Develop, and Maintain Data Pipelines: Build and enhance data pipelines and processes that powers Bloomberg's Private Funds and Hedge Funds Databases, ensuring high data quality, consistency, and reliability
• Drive Automation and Scalability: See opportunities for automation and implement scalable ETL solutions, including human-in-the-loop data workflows and custom tooling, to support the rapid growth and evolving needs of the product
• Standardize and Optimize Processes: Leverage your technical expertise to streamline and standardize pipelining practices across the team and broader department, promoting efficiency and knowledge sharing
• Collaborate with Cross-Functional Teams: Work closely with Engineering, Product, and Sales teams to drive end-to-end development, gather requirements, and deliver impactful data solutions that align with business goals
• Own Production Services: Take full ownership of existing data pipelines and services in production, proactively ensuring their stability, reliability, and continuous improvement.
• Champion Best Practices: Help shape and elevate the team's operational standards by contributing to best practices in technical development, cross-team collaboration, and ongoing service reliability

You'll need to have:

• A BA/BS degree or higher in Computer Science, Statistics, or relevant data technology field, or equivalent professional work experience
• 3+ years of Python programming and scripting in a production environment
• 3+ years of experience working with NoSQL databases
• Understanding and experience in large-scale distributed systems
• Strong problem-solving skills, particularly to modify and improve processes and workflows
• Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
• High attention to detail and degree of shown decision-making and problem-solving skills
• Ability to work independently as well as in a distributed team environment
• Ability to influence others and lead change
• Experience in conducting technical training and mentoring others

We'd love to see:

• Financial Markets experience including an understanding of the private markets industry
• Understanding of Machine Learning, applied statistics and data analytics
• Agile/Scrum Project Management experience

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

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.