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Data Engineer Jobs in Connecticut (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

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 ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

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 ...

Lorven Technologies

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Hi Our client is looking for a Data Engineer project in Hartford, CT below is the detailed requirement. Job positing Title: Data Engineer Location: Hartford, CT Required Skills: Python, Pyspark ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Data Engineer Location: Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization?s modern data ecosystem, including cloud-based data platforms, analytics ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization's modern data ecosystem, including cloud-based data platforms, analytics ...

The Atlantic Group

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

As a rapidly growing firm of 140-150+ employees, they are seeking a full-time Data Engineer fully onsite out of their Greenwich, CT office. This is for someone really looking to take that next step.

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...

FCP Euro

Data Engineer

Milford, CT · On-site

$114K - $137K/yr

They are seeking a highly skilled Data Engineer to design, build, and maintain their data infrastructure, managing end-to-end data pipelines and collaborating with various teams to deliver reliable ...

Interon IT Solutions

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bloomfield, CT · On-site

$114K - $137K/yr

Data Engineering Full Stack Location: Bloomfield, CT (remote as of now but have to relocate once client resume) Data Engineer The candidate will act as a technical architect/developer for major ...

Sarian, Inc.

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills & Experience: • Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures ...

Deloitte

Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

CVS Health

Data Engineer

Hartford, CT · On-site +1

$142K - $158K/yr

Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Bespoke Labs

Data Engineer

Bridgeport, CT · On-site

$116K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

New Haven, CT

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Hamden, CT

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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All JobsData Engineer JobsData Engineer Jobs in Connecticut

Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Connecticut? The most popular types of Data Engineer jobs in Connecticut are:
What are popular job titles related to Data Engineer jobs in Connecticut? For Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Connecticut look for? The top searched job categories for Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Data Engineer jobs? Cities in Connecticut with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in CT? For Data Engineer jobs in CT, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Connecticut as of June 2026, with employment types broken down into 2% As Needed, 94% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.
Data Engineer

Data Engineer

Berkley

Greenwich, CT

$128K - $154K/yr

Full-time

Posted 26 days ago

Job description

"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. 


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.

  • 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 not Offered for this Role

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