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Commodities Jobs in Connecticut (NOW HIRING)

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Commodities information

See Connecticut salary details

$34.7K

$93.3K

$152.2K

How much do commodities jobs pay per year?

As of Aug 8, 2026, the average yearly pay for commodities in Connecticut is $93,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $108,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a commodities trader?

To excel as a Commodities Trader, you need strong analytical skills, a solid understanding of financial markets, and typically a degree in finance, economics, or a related field. Familiarity with trading platforms, market analysis software, and relevant certifications like Series 3 or Chartered Financial Analyst (CFA) are often required. Excellent decision-making, stress management, and communication skills set top performers apart in this fast-paced environment. These abilities are crucial for making informed trades, managing risk effectively, and maintaining profitable client and institutional relationships.

What are some common challenges faced by professionals working in commodities trading, and how can they be addressed?

Professionals in commodities trading often encounter challenges such as market volatility, rapidly changing global events, and complex regulatory requirements. To navigate these, it’s important to stay updated on market news, develop strong analytical skills, and maintain effective risk management strategies. Collaboration with research analysts, risk managers, and compliance teams is also key to making informed trading decisions and ensuring adherence to industry regulations. Continuous learning and adaptability are crucial for long-term success in this dynamic role.

What is the difference between Commodities vs Commodity Traders?

AspectCommoditiesCommodity Traders
CredentialsVaries; often no specific certificationsTypically require knowledge of markets, certifications like Series 7 or 63
Work EnvironmentMining sites, farms, warehouses, production facilitiesTrading floors, offices, financial institutions
Industry UsageRaw materials, agricultural products, energy resourcesBuying and selling commodities in markets
Search/Comparison IntentUnderstanding raw material rolesMarket trading, investment, and sales roles

Commodities refer to raw materials like oil, gold, or wheat, while commodity traders are professionals who buy and sell these raw materials in markets. Commodities are the physical products, whereas commodity traders focus on market transactions, leveraging market knowledge and certifications to profit from price fluctuations.

What is a commodities job?

Commodities jobs involve the buying, selling, analysis, and management of raw materials such as oil, metals, agricultural products, and energy resources. Professionals in this field may work as traders, analysts, brokers, risk managers, or logistics coordinators within financial institutions, trading firms, or companies that produce or use commodities. These roles require strong analytical skills, knowledge of global markets, and the ability to manage risk. The work environment is often fast-paced and can involve monitoring markets, negotiating contracts, and ensuring smooth delivery of goods. Careers in commodities can be lucrative but also carry high levels of risk and responsibility.
What are popular job titles related to Commodities jobs in Connecticut? For Commodities jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Commodities jobs in Connecticut look for? The top searched job categories for Commodities jobs in Connecticut are:
What cities in Connecticut are hiring for Commodities jobs? Cities in Connecticut with the most Commodities job openings:
Commodities jobs near you
Infographic showing various Commodities job openings in Connecticut as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, 1% Contract, and 2% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $93,265 per year, or $44.8 per hour.

Data Engineer - Commodities

Millennium Management LLC

Old Greenwich, CT • On-site

$175K - $250K/yr

Full-time

Re-posted 28 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Data Engineer - Commodities
The Commodities Technology team builds and operates the data platform that aggregates and curates critical commodities data, including weather, supply/demand, storage, transportation and other fundamental and alternative datasets. This curated "content layer" is central to how our Portfolio Managers and researchers understand markets and construct trades.
We are seeking a Commodities Content Engineer who will focus on building robust ETL workflows and data models on top of our commodities data platform.
In this role, you will use Python and SQL to design, implement and maintain pipelines that ingest, clean, transform, and catalog commodities datasets. You will work closely with quantitative researchers, data analysts, and the broader Commodities Technology team to translate domain requirements into well-structured, reliable data assets that can be easily discovered and reused across strategies.
This is a hands-on engineering role with significant exposure to commodities data and the opportunity to shape how that data is represented and consumed across the firm.
Key Responsibilities:
  • Design and implement end-to-end ETL workflows in Python and SQL to ingest and transform commodities data from multiple vendors and internal sources.
  • Build and maintain standardized data models, schemas, and metadata that make commodities datasets easy to understand and discover within the platform.
  • Use Airflow (or similar tools) to schedule, monitor, and manage data pipelines, ensuring reliability and timely delivery.
  • Implement robust validation, reconciliation, and anomaly-detection checks to ensure data completeness, correctness, and consistency.
  • Leverage AI to automate schema inference across structured and semi-structured data sources, manage schema drift, and accelerate development of scalable ingestion pipelines.
  • Apply AI-driven data quality, observability, and documentation capabilities to detect anomalies, monitor data health, and generate clear lineage and technical documentation across complex data workflows.
  • Leverage Git, GitHub Actions, and automated testing (PyTest) to maintain high-quality code and repeatable deployments.
  • Partner with commodities PMs, researchers, and data strategists to understand use cases and continuously refine datasets, definitions, and documentation.

Required Qualifications:
  • 4 years of experience in data engineering, analytics engineering, or similar roles focused on building and maintaining ETL pipelines.
  • Strong skills in Python and SQL, with experience working with large datasets and complex transformations.
  • Hands-on experience with Airflow or other workflow schedulers.
  • Familiarity with version control (Git), CI/CD pipelines (GitHub Actions or equivalent), and test automation (e.g., PyTest).
  • Strong attention to detail, data quality and documentation; ability to reason for edge cases and data integrity.
  • Ability to work independently, communicate clearly with both technical and non-technical stakeholders, and manage work across multiple concurrent initiatives.

Preferred Qualifications:
  • Knowledge of commodities markets and commodities data (e.g., weather, supply/demand, storage, freight, flows).
  • Experience with data warehousing technologies (e.g., Snowflake, columnar storage formats, or analytic databases).
  • Prior experience in a financial services, trading, or research driven environment.
  • Exposure to data catalog / data governance tools and best practices.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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