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New Grad Data Engineer Jobs in Connecticut (NOW HIRING)

Data Engineer

Greenwich, CT

$128K - $154K/yr

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving ...

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 ... new model in Snowflake will look Putting together a new agile team of 5 to 6 people Red flag on ...

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

... enhance new product development, and responsively scale production. Across its nationwide ... The Data Engineer is a strategic technical role responsible for architecting, building, and ...

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

Data Engineer-Bloomfield, CT

Bloomfield, CT · On-site

$114K - $137K/yr

Georgia IT, Inc. is seeking a Data Engineer to support the database and table schemas for new and evolving data sources. The role involves monitoring performance issues and defining requirements for ...

Senior Data Engineer

New Haven, CT · Hybrid

$106K - $144K/yr

Senior Data Engineer Location: 50 Mitchell Dr Suite 105, New Haven, CT 06511 Salary: $ 130-145K Work Status: Hybrid Job Summary: Company X is seeking a savvy Data Engineer to join our growing team of ...

Data Engineer II

Hartford, CT

$115K - $138K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Data Engineer II

Stamford, CT

$122K - $146K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Lead Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Ensure the new Snowflake application is designed for long-term maintainability and enhancement ...

New

Sr Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

Lead Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Ensure the new Snowflake application is designed for long-term maintainability and enhancement ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Partner with quantitative researchers, data architects, and infrastructure teams to onboard new ... Document data pipelines and engineering best practices while contributing to the ongoing evolution ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Partner with quantitative researchers, data architects, and infrastructure teams to onboard new ... Document data pipelines and engineering best practices while contributing to the ongoing evolution ...

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Showing results 1-20

New Grad Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do new grad data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for new grad 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.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What cities in Connecticut are hiring for New Grad Data Engineer jobs?

Cities in Connecticut with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

$128K - $154K/yr

Full-time

Re-posted 21 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