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Gcp Data Engineer Jobs in Connecticut (NOW HIRING)

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 ...

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 ... Build scalable, production-ready data pipelines and orchestration workflows on GCP. * Develop ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

GCP Engineer

Hartford, CT · On-site

$50 - $55/hr

GCP certifications (e.g., Google Cloud Professional Data Engineer) considered a plus. * Capable of designing scalable and efficient data pipelines to extract, transform and load data from various ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

... GCP . * Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

... GCP . * Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills ... or GCP). • Strong problem-solving skills and ability to work in a fast-paced environment.

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Experience working with cloud-based data solutions (AWS, Azure, or GCP). * Strong problem-solving ...

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

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Gcp Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do gcp data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for gcp 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 GCP Data Engineer?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive as a GCP Data Engineer?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

Is GCP data engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

What are the most commonly searched types of Gcp Data Engineer jobs in Connecticut?

The most popular types of Gcp Data Engineer jobs in Connecticut are:

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

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

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

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

Infographic showing various Gcp Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

GCP Data Engineer

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 15 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.