{"schemaVersion":"jobsearcher.job.v1","id":"df16b26de2b48337b22ff07c","url":"https://jobsearcher.com/jobs/df16b26de2b48337b22ff07c","canonicalUrl":"https://jobsearcher.com/jobs/df16b26de2b48337b22ff07c","title":"Data Engineer - Data Science & Technology","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.\r\nOur 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.\r\nOur Data Engineering team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on-going data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes.\r\nResponsibilities\r\n\r\n\r\nExecute data architecture and data management projects for both new and existing data sources.\r\n\r\n\r\nHelp transition existing data sets, databases, and code to a new technology stack.\r\n\r\n\r\nManage end to end data ingestion process and publishing to investing teams.\r\n\r\n\r\nOwn the process of mapping, standardizing, and normalizing data.\r\n\r\n\r\nAd hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.\r\n\r\n\r\nHelp transition existing data sets, databases, and code to a new technology stack.\r\n\r\n\r\nAssess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.\r\n\r\n\r\nActively manage vendors and capture changes in data input proactively.\r\n\r\n\r\nProperly prioritize and resolve data issues based on business usage.\r\n\r\n\r\nAssist with managing strategic initiatives around big data projects for the commercial (trading) business.\r\n\r\n\r\nPartner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.\r\n\r\n\r\nAssess gaps in current datasets and remediate.\r\n\r\n\r\nQualifications\r\n\r\n\r\nBachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.\r\n\r\n\r\n3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.\r\n\r\n\r\nExperience in energy commodities or financial services is nice to have but not required.\r\n\r\n\r\nExperience in mapping, standardizing, and normalizing data.\r\n\r\n\r\nExperience with ETL/ELT frameworks to write pipelines to load millions/billions of records.\r\n\r\n\r\nAdvanced skills in writing highly optimized SQL code.\r\n\r\n\r\nExperience with relational databases; Snowflake highly preferred.\r\n\r\n\r\nHands-on experience developing data solutions in Python, Pandas, Numpy, etc.\r\n\r\n\r\nAbility to communicate and interact with a wide range of data users - from very technical to non-technical.\r\n\r\n\r\nTeam player who is execution focused, with the ability to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.\r\n\r\n\r\nAbility 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.\r\n\r\n\r\nEmployee Programs & Benefits:\r\nCCI offers competitive benefits and programs to support our employees, their families and local communities. These include:\r\n\r\n\r\nCompetitive comprehensive medical, dental, retirement and life insurance benefits\r\n\r\n\r\nEmployee assistance & wellness programs\r\n\r\n\r\nParental and family leave policies\r\n\r\n\r\nCCI 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 the selected charities.\r\n\r\n\r\nCharitable contribution match program\r\n\r\n\r\nTuition assistance & reimbursement\r\n\r\n\r\nQuarterly Innovation & Collaboration Awards\r\n\r\n\r\nEmployee discount program, including access to fitness facilities\r\n\r\n\r\nCompetitive paid time off\r\n\r\n\r\nContinued learning opportunities\r\n\r\n\r\nVisit https://www.cci.com/careers/life-at-cci/# to learn more!\r\nLI-CD1","company":"Castleton Commodities International","rawCompany":"castleton commodities international","city":"Hartford","state":"CT","isRemote":false,"isActive":false,"createdAt":"2026-05-21T06:34:53.593Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"523160","title":"Commodity Contracts Intermediation","slug":"commodity-contracts-intermediation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Data Science & Technology","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.\r\nOur 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.\r\nOur Data Engineering team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on-going data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes.\r\nResponsibilities\r\n\r\n\r\nExecute data architecture and data management projects for both new and existing data sources.\r\n\r\n\r\nHelp transition existing data sets, databases, and code to a new technology stack.\r\n\r\n\r\nManage end to end data ingestion process and publishing to investing teams.\r\n\r\n\r\nOwn the process of mapping, standardizing, and normalizing data.\r\n\r\n\r\nAd hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.\r\n\r\n\r\nHelp transition existing data sets, databases, and code to a new technology stack.\r\n\r\n\r\nAssess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.\r\n\r\n\r\nActively manage vendors and capture changes in data input proactively.\r\n\r\n\r\nProperly prioritize and resolve data issues based on business usage.\r\n\r\n\r\nAssist with managing strategic initiatives around big data projects for the commercial (trading) business.\r\n\r\n\r\nPartner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.\r\n\r\n\r\nAssess gaps in current datasets and remediate.\r\n\r\n\r\nQualifications\r\n\r\n\r\nBachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.\r\n\r\n\r\n3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.\r\n\r\n\r\nExperience in energy commodities or financial services is nice to have but not required.\r\n\r\n\r\nExperience in mapping, standardizing, and normalizing data.\r\n\r\n\r\nExperience with ETL/ELT frameworks to write pipelines to load millions/billions of records.\r\n\r\n\r\nAdvanced skills in writing highly optimized SQL code.\r\n\r\n\r\nExperience with relational databases; Snowflake highly preferred.\r\n\r\n\r\nHands-on experience developing data solutions in Python, Pandas, Numpy, etc.\r\n\r\n\r\nAbility to communicate and interact with a wide range of data users - from very technical to non-technical.\r\n\r\n\r\nTeam player who is execution focused, with the ability to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.\r\n\r\n\r\nAbility 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.\r\n\r\n\r\nEmployee Programs & Benefits:\r\nCCI offers competitive benefits and programs to support our employees, their families and local communities. These include:\r\n\r\n\r\nCompetitive comprehensive medical, dental, retirement and life insurance benefits\r\n\r\n\r\nEmployee assistance & wellness programs\r\n\r\n\r\nParental and family leave policies\r\n\r\n\r\nCCI 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 the selected charities.\r\n\r\n\r\nCharitable contribution match program\r\n\r\n\r\nTuition assistance & reimbursement\r\n\r\n\r\nQuarterly Innovation & Collaboration Awards\r\n\r\n\r\nEmployee discount program, including access to fitness facilities\r\n\r\n\r\nCompetitive paid time off\r\n\r\n\r\nContinued learning opportunities\r\n\r\n\r\nVisit https://www.cci.com/careers/life-at-cci/# to learn more!\r\nLI-CD1","datePosted":"2026-05-21T06:34:53.593Z","dateModified":"2026-05-21T06:34:53.593Z","hiringOrganization":{"@type":"Organization","name":"Castleton Commodities International","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hartford","addressRegion":"CT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"df16b26de2b48337b22ff07c"},"url":"https://jobsearcher.com/jobs/df16b26de2b48337b22ff07c"}}