Senior Data Management Professional - Data Engineering - Commodities Data
Bloomberg
Software Engineering, Data Science
New Jersey, USA
Posted on Oct 10, 2025
Bloomberg runs on data. Our products are powered by rich, timely information. We combine data and context to deliver the full picture to our clients—around the clock, around the world. In Data, we’re responsible for delivering this information, news, and analytics through innovative technology—quickly and accurately.
Our Team
The Commodities Data team is responsible for onboarding, modeling, and maintaining data that is accurate, timely, and fit for purpose. More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. Our insights and intelligence help shape the commodities markets.
We manage data across power & gas, oil, carbon, agriculture, and metals. Our mission is to empower our clients with high-quality data to support their analysis of pricing and market fundamentals.
The Role
We’re looking for an experienced Data Engineer with a passion for data and technology. You’ll play a key role in designing and maintaining our data infrastructure, ensuring efficient, scalable, and reliable data pipelines. You’ll lead the development of automated ETL processes, data remediation workflows, and quality controls.
You’ll work closely with Product, Engineering, domain experts, and other stakeholders to understand data requirements and deliver impactful solutions. As a technical leader, you’ll also guide design decisions, mentor team members, and take ownership of end-to-end project delivery to meet evolving client and market needs.
We'll trust you to
* Build and maintain scalable ETL pipelines to ingest, transform, and load data from various sources using Bloomberg technologies
* Develop and implement data quality strategies and governance frameworks
* Analyze internal processes to identify areas for improvement, engineering innovative, ML-driven workflows
* Deliver transparent, fit-for-purpose solutions for internal and external Commodities clients
* Collaborate with cross-functional teams (Data, Engineering, Product, and Sales) to drive strategic development
* Apply project management best practices to ensure technical initiatives meet requirements and timelines
* Use statistical methods and data visualization to communicate insights and track project outcomes
* Mentor junior team members, fostering growth, collaboration, and knowledge sharing
You'll need to have
* A bachelor’s degree (or equivalent qualification) in Statistics, Computer Science, Quantitative Finance, or a related STEM field
* 4+ years of experience designing and implementing scalable data solutions and ETL pipelines across diverse data sources
* 4+ years of hands-on experience with Python and working with SQL/NoSQL databases
* Familiarity with various data formats (structured and unstructured), including PDF, HTML, XBRL, JSON, and CSV
* Excellent communication and interpersonal skills, with the ability to mentor and collaborate across distributed teams
* Proven experience in data quality management, including proactive strategy development and metric/reporting creation
* A passion for problem solving, process improvement, and innovation
* Strong project management skills and a customer-focused mindset
We'd love to see
* An advanced degree in a relevant field and/or Certified Data Management Professional (CDMP) accreditation (or working towards it)
* Experience working in commodities markets and with commodity data products
* Familiarity with Bloomberg products, Bloomberg Terminal workflows, or Bloomberg Data Services
* Knowledge of advanced statistical techniques, Machine Learning, Natural Language Processing, or AI in business use cases
* Project management experience using JIRA, QlikSense, or similar tools
Our Team
The Commodities Data team is responsible for onboarding, modeling, and maintaining data that is accurate, timely, and fit for purpose. More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. Our insights and intelligence help shape the commodities markets.
We manage data across power & gas, oil, carbon, agriculture, and metals. Our mission is to empower our clients with high-quality data to support their analysis of pricing and market fundamentals.
The Role
We’re looking for an experienced Data Engineer with a passion for data and technology. You’ll play a key role in designing and maintaining our data infrastructure, ensuring efficient, scalable, and reliable data pipelines. You’ll lead the development of automated ETL processes, data remediation workflows, and quality controls.
You’ll work closely with Product, Engineering, domain experts, and other stakeholders to understand data requirements and deliver impactful solutions. As a technical leader, you’ll also guide design decisions, mentor team members, and take ownership of end-to-end project delivery to meet evolving client and market needs.
We'll trust you to
* Build and maintain scalable ETL pipelines to ingest, transform, and load data from various sources using Bloomberg technologies
* Develop and implement data quality strategies and governance frameworks
* Analyze internal processes to identify areas for improvement, engineering innovative, ML-driven workflows
* Deliver transparent, fit-for-purpose solutions for internal and external Commodities clients
* Collaborate with cross-functional teams (Data, Engineering, Product, and Sales) to drive strategic development
* Apply project management best practices to ensure technical initiatives meet requirements and timelines
* Use statistical methods and data visualization to communicate insights and track project outcomes
* Mentor junior team members, fostering growth, collaboration, and knowledge sharing
You'll need to have
* A bachelor’s degree (or equivalent qualification) in Statistics, Computer Science, Quantitative Finance, or a related STEM field
* 4+ years of experience designing and implementing scalable data solutions and ETL pipelines across diverse data sources
* 4+ years of hands-on experience with Python and working with SQL/NoSQL databases
* Familiarity with various data formats (structured and unstructured), including PDF, HTML, XBRL, JSON, and CSV
* Excellent communication and interpersonal skills, with the ability to mentor and collaborate across distributed teams
* Proven experience in data quality management, including proactive strategy development and metric/reporting creation
* A passion for problem solving, process improvement, and innovation
* Strong project management skills and a customer-focused mindset
We'd love to see
* An advanced degree in a relevant field and/or Certified Data Management Professional (CDMP) accreditation (or working towards it)
* Experience working in commodities markets and with commodity data products
* Familiarity with Bloomberg products, Bloomberg Terminal workflows, or Bloomberg Data Services
* Knowledge of advanced statistical techniques, Machine Learning, Natural Language Processing, or AI in business use cases
* Project management experience using JIRA, QlikSense, or similar tools