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Cloud Data Engineer Jobs in Connecticut (NOW HIRING)

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 ... This role focuses on building and maintaining scalable data pipelines on Google Cloud Platform (GCP ...

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires deep hands-on expertise in Google Cloud Platform (Google Cloud Platform), modern data engineering frameworks, cloud-native architectures, and enterprise data governance. The ideal ...

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires deep hands-on expertise in Google Cloud Platform (GCP), modern data engineering frameworks, cloud-native architectures, and enterprise data governance. The ideal candidate will ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

As a Data Engineer, you'll work with cutting-edge cloud technologies, modern engineering practices, and AI-assisted development tools to deliver innovative capabilities that advance data governance ...

W. R. Berkley Corporation

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

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 ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling. * Strong programming skills ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

If you have exceptionally strong cloud data engineering skills, experience implementing complex real-time data and analytics platforms to produce practical insights, then we'd love to hear from you!

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

If you have exceptionally strong cloud data engineering skills, experience implementing complex real-time data and analytics platforms to produce practical insights, then we'd love to hear from you!

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling. * Strong programming skills ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling. * Strong programming skills ...

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

$224K - $314K/yr

If you have exceptionally strong cloud data engineering skills, experience implementing complex real-time data and analytics platforms to produce practical insights, then we'd love to hear from you!

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 ... cloud data sources, XML, JSON * Experience in ETL concerning metadata management and data ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Cloud Ecosystem: AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Build and enhance data pipelines using cloud-based architectures. Design simplified data models for complex business problems. Champion Data Engineering best practices across teams, implementing ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Cloud Ecosystem: AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Cloud Ecosystem: AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Cloud Ecosystem: AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

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Showing results 1-20

All JobsCloud Data Engineer JobsCloud Data Engineer Jobs in Connecticut

Cloud Data Engineer information

See Connecticut salary details

$22

$59

$83

How much do cloud data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for cloud data engineer in Connecticut is $59.82, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $68.12 per hour, depending on experience, location, and employer.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

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

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

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

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

What are popular job titles related to Cloud Data Engineer jobs in Connecticut?

For Cloud Data Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Cloud Data Engineer jobs in Connecticut look for?

The top searched job categories for Cloud Data Engineer jobs in Connecticut are:

Cloud Data Engineer jobs near you
Infographic showing various Cloud 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 $124,430 per year, or $59.8 per hour.

GCP Data Engineer

Interon IT Solutions

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 7 days ago

Job description

Job Title: 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 support enterprise data modernization and analytics initiatives. This role focuses on building and maintaining scalable data pipelines on Google Cloud Platform (GCP), with strong emphasis on Python-based development, BigQuery, and data warehouse migration from legacy systems such as SAS and Teradata.

The ideal candidate is a hands-on data engineer with strong problem-solving skills and experience working in large, complex data environments.

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering (core language, data processing, performance tuning).
  • Experience with PySpark for large-scale data transformations.
  • Solid experience with Google Cloud Platform, including:
    • Google Cloud Storage (GCS)
    • BigQuery
  • Strong SQL skills, including complex queries and optimization.
  • Experience with BigQuery Migration Service / SQL Translation.
  • Working knowledge of SAS code and ability to understand legacy data logic.
  • Familiarity with Teradata data warehouses and SQL.
  • Experience supporting enterprise-scale data pipelines in production.

Preferred / Nice-to-Have Skills

  • Experience with Cloud Composer (Apache Airflow).
  • Exposure to Java / Spring Boot for future integration or backend services.
  • Knowledge of CI/CD pipelines for data engineering workflows.
  • Experience working in regulated or large enterprise environments.

Education & Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
  • 6+ years of experience in data engineering or cloud data platforms.