Senior Data Engineer, Commodities Data & Platforms

Bloomberg; New York (NY); On-site; USD 110,000 - 190,000; Full time

Job summary

Bloomberg is seeking a Senior Data Management Professional to contribute to the Commodities Data Team in New York. This role involves developing scalable data solutions, leading modernization efforts for data workflows, and ensuring data quality across systems. Candidates should have a strong background in data engineering, solid experience with Python, ETL pipelines, and machine learning techniques. The position offers a competitive salary range of $110,000 to $190,000, plus benefits and bonuses.

Qualifications

• 4+ years of experience architecting and implementing scalable data solutions.
• Strong experience with distributed data systems and scalable architecture design.
• Ability to analyze and refactor legacy systems for better performance.

Responsibilities

• Build and maintain scalable data pipelines for Commodities datasets.
• Lead modernization of legacy workflows to improve technical performance.
• Develop validation frameworks for data quality assurance.

Skills

Data analysis

Python programming

Data quality management

Machine learning

ETL pipeline development

SQL/NoSQL

Workflow orchestration

Technical leadership

Education

Bachelor’s degree in Statistics, Computer Science, Quantitative Finance or related field

Tools

JIRA

QlikSense

Job description

Bloomberg is seeking a Senior Data Management Professional to contribute to the Commodities Data Team in New York. This role involves developing scalable data solutions, leading modernization efforts for data workflows, and ensuring data quality across systems. Candidates should have a strong background in data engineering, solid experience with Python, ETL pipelines, and machine learning techniques. The position offers a competitive salary range of $110,000 to $190,000, plus benefits and bonuses.