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Data Science Engineer Jobs in Connecticut (NOW HIRING)

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 ...

Guardianlife

Data Scientist, Agentic AI

Stamford, CT · Hybrid

$95K - $156K/yr

Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact. * Contribute to the Data Science Lab by building reusable components ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

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 ...

W. R. Berkley Corporation

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

... science, and business teams to enable modeling and AI uses. • Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability ...

Munich RE

Senior Data Scientist

Hartford, CT · On-site

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline * Experience in R (preferred), Python, and SQL * Experience in ingesting data from a ...

Customer Operations

Data Insights Analyst

Stamford, CT · On-site

Bachelor's degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience Experience * 5+ years of relevant technical or business work experience ...

Berkley

Actuary/Data Scientist

Greenwich, CT

... in their data science or AI journey. Qualifications: • 4-7 years of relevant actuarial, technical, or research experience. • Strong programming skills, particularly in Python, including ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

This role will challenge the status quo, apply modern data science and AI approaches, and translate ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

Customer Operations

Data Insights Analyst

Stamford, CT · On-site +1

Bachelor's degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience Experience * 5+ years of relevant technical or business work experience ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Connecticut

Data Science Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data science engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What are popular job titles related to Data Science Engineer jobs in Connecticut? For Data Science Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Connecticut look for? The top searched job categories for Data Science Engineer jobs in Connecticut are:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Data Engineer

Berkley

Greenwich, CT • On-site

$128K - $154K/yr

Other

Re-posted 29 days ago

Job description

Company Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.

Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

The Company is an equal employment opportunity employer. 

Responsibilities

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled workflows.

This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, welldesigned systems that others can rely on.

The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment over oneoff solutions or purely mechanical implementations. We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.

Responsibilities

  • Write productionquality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Sparkbased pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, tradeoffs, and limitations clearly to technical and nontechnical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications
  • 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLMbased tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.
Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER

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