Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...
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 ...
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 ...
Data Engineer
Greenwich, CT · On-site
$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 ...
Data Engineer
Greenwich, CT · On-site
$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 ...
Data Engineer
Greenwich, CT · On-site
$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 ...
Data Engineer
Greenwich, CT · On-site
$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 ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/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 ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/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 ...
Data Engineer
$115K - $138K/yr
As a Data Engineer, you will collaborate with architects, product owners, data scientists, and business stakeholders to design, develop, and optimize secure, reliable, and high-performing data ...
Data Engineer
$115K - $138K/yr
As a Data Engineer, you will collaborate with architects, product owners, data scientists, and business stakeholders to design, develop, and optimize secure, reliable, and high-performing data ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
As a Data Engineer, you will collaborate with architects, product owners, data scientists, and business stakeholders to design, develop, and optimize secure, reliable, and high-performing data ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
As a Data Engineer, you will collaborate with architects, product owners, data scientists, and business stakeholders to design, develop, and optimize secure, reliable, and high-performing data ...
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 ...
Quick apply
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 ...
Data Engineer
Windsor, CT · On-site
$55/hr
Qualifications Data Engineer need 5 years experience Data Engineer requires: * BS in Mathematics, Economics, Computer Science, Information Management or Statistics. * Expert knowledge in SQL query ...
Data Engineer
Windsor, CT · On-site
$55/hr
Qualifications Data Engineer need 5 years experience Data Engineer requires: * BS in Mathematics, Economics, Computer Science, Information Management or Statistics. * Expert knowledge in SQL query ...
Data Engineer
$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 ...
Data Engineer
$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 ...
Data Engineer
Newington, CT · On-site
$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 ...
Data Engineer
Newington, CT · On-site
$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 ...
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 ...
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 ...
DATA Engineer
East Hartford, CT · On-site
$113K - $136K/yr
Must be Local only within 40 Miles area Relocation will not work Look insurance domain highly preferred 11 Years exp We are looking for a Senior Data Engineer to design, build, and optimize scalable ...
DATA Engineer
East Hartford, CT · On-site
$113K - $136K/yr
Must be Local only within 40 Miles area Relocation will not work Look insurance domain highly preferred 11 Years exp We are looking for a Senior Data Engineer to design, build, and optimize scalable ...
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 ...
Quick apply
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 ...
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 ...
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 ...
GCP Data Engineer
Hartford, CT · Hybrid
$115K - $138K/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 ...
GCP Data Engineer
Hartford, CT · Hybrid
$115K - $138K/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 ...
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 ...
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 ...
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 ...
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 ...
Data Engineer
Waterbury, CT · On-site
$117K - $140K/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 ...
Data Engineer
Waterbury, CT · On-site
$117K - $140K/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 ...
Data Engineer
Norwalk, CT · On-site
$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 ...
Data Engineer
Norwalk, CT · On-site
$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 ...
Data Engineer information
See Connecticut salary details
$42.3K - $53.8K
0% of jobs
$53.8K - $65.3K
1% of jobs
$65.3K - $76.8K
3% of jobs
$76.8K - $88.3K
4% of jobs
$88.3K - $99.8K
7% of jobs
$109.9K is the 25th percentile. Wages below this are outliers.
$99.8K - $111.3K
11% of jobs
$111.3K - $122.8K
12% of jobs
The median wage is $125.9K / yr.
$122.8K - $134.3K
45% of jobs
$134.3K - $145.8K
8% of jobs
$145.8K - $157.4K
5% of jobs
$157.4K - $168.9K
3% of jobs
$42.3K
$123.4K
$168.9K
How much do data engineer jobs pay per year?
As of Aug 17, 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.
What is a data engineer?
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.
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.
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 is the difference between Data Engineer vs Data Scientist?
| Aspect | Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building and maintaining data pipelines and infrastructure | Analyzing data to extract insights and create models |
| Skills | SQL, ETL, programming (Python, Java), database management | Statistics, machine learning, data analysis, programming (Python, R) |
| Work Environment | Data warehouses, cloud platforms, backend systems | Data analysis environments, research labs, visualization tools |
| Common Tools | Apache Spark, Hadoop, Airflow, SQL | Jupyter, 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.
Is a data engineer entry level?
Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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:
$128K - $154K/yr
Full-time
Re-posted 8 days ago
W.R. Berkley rating
9.0
Based on 8 frontline employees who took The Breakroom Quiz
35th of 309 rated insurance
Job description
Job Summary:
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality 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., Spark‑based pipelines).
• Partner with actuaries, analytics, data 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, 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, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 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 LLM‑based 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.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality 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., Spark‑based pipelines).
• Partner with actuaries, analytics, data 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, 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, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 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 LLM‑based 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.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.