Data Engineer - Data Science & Technology

Castleton Commodities International, LLC; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive comprehensive medical and dental benefits

Employee assistance & wellness programs

Tuition assistance & reimbursement

Quarterly Innovation & Collaboration Awards

Employee discount program

Job summary

Castleton Commodities International, LLC is looking for a Data Engineer to manage data platforms and pipelines. The successful candidate will have at least 3 years of experience and a degree in a relevant field. You will collaborate with commercial investment teams and work on modern, open-source technology stacks.

This role offers competitive medical and dental benefits, tuition assistance, paid time off, and opportunities for continued learning.

Qualifications

• 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.
• Experience with ETL/ELT frameworks to write pipelines that load millions/billions of records.
• Advanced skills in writing highly optimized SQL code.

Responsibilities

• 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.
• Conduct ad-hoc research on project topics such as vendor trends and big data trends.

Skills

SQL programming

Data architecture

Dimension modeling

Python

Pandas

NumPy

Education

Bachelor’s degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field

Tools

Snowflake

Job description

At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team is at the forefront of this transformation, developing systems and innovative tools that empower our front‑office teams to better understand market dynamics, forecast prices, and manage risk. Our commitment to excellence is reflected in a robust, modern, open‑source technology stack, empowering us to solve complex, high‑impact challenges at scale. From cloud‑native infrastructure to machine learning platforms, real‑time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading and investing. 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 is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer plays an integral role: implementing new data management platforms, creating new data ingestion pipelines, and sourcing new data sets. The role will assist with all aspects of data – from data architecture design to ongoing data management – and will have significant exposure to our Commercial investing teams globally.

Responsibilities

• 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, standardising, and normalising data.
• Conduct ad‑hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, and other vendors.
• Assess data loads for tactical errors, 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.
• Prioritise 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, investment process, and gather functional requirements.
• Assess gaps in current datasets and remediate.

Qualifications

• 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 modelling.
• Experience in energy commodities or financial services is nice to have but not required.
• Experience in mapping, standardising, and normalising data.
• Experience with ETL/ELT frameworks to write pipelines that load millions/billions of records.
• Advanced skills in writing highly optimised SQL code.
• Experience with relational databases; Snowflake highly preferred.
• Hands‑on experience developing data solutions in Python, Pandas, NumPy, etc.
• Ability to communicate and interact with a wide range of data users – from very technical to non‑technical.
• Team player with an execution focus and 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.

Employee Programs & Benefits

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

Visit https://www.cci.com/careers/life-at-cci/# to learn more!