Senior Data Management Professional - Data Engineering - Private Funds

Socket.dev; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Bloomberg is seeking a Data Engineer in New York, NY, to enhance and manage data pipelines for Private Funds and Hedge Funds. Ideal candidates will possess a BA/BS degree in Computer Science or related fields, along with 4+ years of Python programming and NoSQL database experience. The role involves collaboration with diverse teams to deliver efficient and consistent data solutions. If you have strong problem-solving skills and an eye for technical detail, we encourage you to apply.

Qualifications

• 4+ years of Python programming and scripting in a production environment.
• 4+ years of experience working with NoSQL databases.
• Strong problem-solving skills and ability to influence change.

Responsibilities

• Build and enhance data pipelines and processes.
• Identify automation opportunities and implement scalable ETL solutions.
• Work closely with Engineering, Product, and Sales teams.

Skills

Python programming

Scripting

NoSQL databases

Large-scale distributed systems

Problem solving

Communication skills

Education

BA/BS degree in Computer Science

Relevant data technology field experience

Job description

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 and implement technology solutions to enhance our systems, products, and processes.

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 is made up of data specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.

The Role

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 with a passion for data and the technology that surrounds it.

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.

Responsibilities

• Build and enhance data pipelines and processes that powers Bloomberg’s Private Funds and Hedge Funds Databases, ensuring high data quality, consistency, and reliability.
• Identify 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.
• Leverage your technical expertise to streamline and standardize pipelining practices across the team and broader department, promoting efficiency and knowledge sharing.
• 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.
• Take full ownership of existing data pipelines and services in production, proactively ensuring their stability, reliability, and continuous improvement.
• Help shape and elevate the team’s operational standards by contributing to best practices in technical development, cross‑team collaboration, and ongoing service reliability.

Qualifications

• A BA/BS degree or higher in Computer Science, Statistics, or relevant data technology field, or equivalent professional work experience
• 4+ years of Python programming and scripting in a production environment
• 4+ 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

Preferred Skills

• 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

How to Apply

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