Data Engineer

Overview

At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team develops systems and innovative tools that empower front-office teams to better understand market dynamics, forecast prices, and manage risk. We leverage a modern, open-source technology stack to solve complex, high-impact challenges at scale, including cloud-native infrastructure, machine learning platforms, real-time analytics, and proprietary libraries and APIs.

Candidates will gain direct exposure to our commercial investment teams, offering a unique opportunity to see how cutting-edge technology drives strategy and performance in energy markets.

Our Data Engineering team ensures seamless ingestion and management of data across our platforms. The Data Engineer will contribute to implementing new data management platforms, creating data ingestion pipelines, and sourcing new data sets. The role involves data architecture design, ongoing data management, and substantial exposure to our commercial investing teams globally as the firm expands its use of data for advanced analytics and other commercial purposes.

• Execute data architecture and data management projects for both new and existing data sources.
• Help transition existing data sets, databases, and code to a new technology stack.
• Manage end-to-end data ingestion process and publishing to investing teams.
• Own the process of mapping, standardizing, and normalizing data.
• Conduct ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, and related areas.
• Assess data loads for tactical errors and build out appropriate workflows, and create data quality analysis that identifies larger issues in data.
• Actively manage vendors and capture changes in data input proactively.
• Prioritize and resolve data issues based on business usage.
• Assist with managing strategic initiatives around big data projects for the commercial (trading) business.
• Partner with commercial teams to understand current data flow, data architecture, and investment processes; gather functional requirements.
• Assess gaps in current datasets and remediate.

• Bachelor’s degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.
• 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.
• Experience in energy commodities or financial services is nice to have but not required.
• Experience in mapping, standardizing, and normalizing data.
• Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.
• Advanced skills in writing highly optimized SQL code.
• Experience with relational databases;
  Snowflake highly preferred.
• Hands-on experience developing data solutions in Python, Pandas, Num Py, etc.
• Ability to communicate and interact with a wide range of data users – from very technical to non-technical.
• Team player who is execution focused, with the ability to handle a rapidly changing set of projects and priorities, while maintaining a strong professional presence.
• Ability to work effectively in a fast-paced, dynamic and high-intensity environment, including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required.

• Competitive comprehensive medical, dental, retirement and life insurance benefits
• Employee assistance & wellness programs
• Parental and family leave policies
• CCI in the Community:
  Each office has a Charity Committee and employees are allocated 2 days annually to volunteer at selected charities.
• Charitable contribution match program
• Tuition assistance & reimbursement
• Quarterly Innovation & Collaboration Awards
• Employee discount program, including access to fitness facilities
• Competitive paid time off
• Continued learning opportunities

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