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Data Engineer
- New York, New York, United States
- New York, New York, United States
Über
Our team solves complex, high-impact challenges using a modern technology stack. We develop everything in cloud-native infrastructure from real-time analytics to backtesting engines, third party integrations, and internal libraries—all designed to give CCI a competitive edge in the global commodities markets.
CCI is building a best-in-class data science platform as being on the forefront of data management and analytics is core to our investment platform. This position 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 Risk and 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, standardizing, and normalizing data.
Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.
Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.
Actively manage vendors and capture changes in data input proactively.
Properly 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 gain understanding of current data flow, data architecture, investment process as well as 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 modeling.
Prior experience as a Technical Lead, managing a team of Data Engineers, overseeing project execution and ensuring the delivery of high-quality data solutions.
Experience in energy commodities or financial services is nice to have but not required.
Experience in mapping, standardizing, and normalizing data.
Experience with data integration platforms is preferred, and SnapLogic experience is highly preferred.
Extensive work experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.
Advanced skills in writing highly optimized SQL code.
Hands‑on experience developing data solutions in Python, Pandas, Numpy, etc.
Experience with relational databases Snowflake or Oracle is preferred.
Experience with PowerBI visualization tools.
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 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 programs
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 the 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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Sprachkenntnisse
- English
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