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Data Engineer Data Scientist Jobs in Connecticut

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches. Responsibilities * Write productionquality code for data ingestion, transformation ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches. Responsibilities * Write productionquality code for data ingestion, transformation ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches. Responsibilities * Write production-quality code for data ingestion, transformation ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 3 years in data analytics * 2 years programming experience ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience. The role involves building, training, validating, and deploying machine learning models, as well as implementing ...

Quest Oracle Community

Data Engineer

Hartford, CT · On-site

$64K - $173K/yr

Position Summary The Data Engineer will be responsible for delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a ...

New

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Bachelor's degree in Computer Science, Data Science, Information Technology, or related field ... Engineer Hands-on experience in Snowflake Primary skill set is Snowflake Hybrid position - 3 days ...

Saransh Inc

Data Scientist

Hartford, CT · On-site

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations Job Type: Contract * Data scientists develop robust, efficient, and ...

STI

Data Scientist

Hartford, CT · On-site

... Data Science • Experience with machine learning, AI, and cognitive service engine models • ... with programming languages like SQL, Python, R, and Scala • Using analytics software and ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

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All JobsData Engineer Data Scientist JobsData Engineer Data Scientist Jobs in Connecticut

Data Engineer Data Scientist information

How do data engineer data scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a data engineer or data scientist, and why are they important?

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

What is the difference between Data Engineer Data Scientist vs Data Analyst?

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.

What cities in Connecticut are hiring for Data Engineer Data Scientist jobs?

Cities in Connecticut with the most Data Engineer Data Scientist job openings:

Data Engineer Data Scientist jobs near you
Infographic showing various Data Engineer Data Scientist job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Data Engineer - Data Science & Technology

Stamford, CT • On-site

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees
Learn more about Castleton Commodities International LLCexternal

$122K - $146K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 14 days ago

Key responsibilities

  • Execute data architecture and data management projects for both new and existing data sources.

  • Manage end to end data ingestion process and publishing to investing teams.

  • Assist with managing strategic initiatives around big data projects for the commercial (trading) business.

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 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.

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.

  • Help transition existing data sets, databases, and code to a new technology stack.

  • 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.

  • 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, Numpy, 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 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:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

  • 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

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

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