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Data Engineer Contract Jobs in Springfield, MA (NOW HIRING)

Interon IT Solutions

GCP Data Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

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 ...

Transcend Softech LLC

GCP Engineer

Hartford, CT · On-site

$50 - $55/hr

GCP Engineer Location: Hartford, CT (Onsite) Duration: Long Term Contract Unable to provide ... GCP certifications (e.g., Google Cloud Professional Data Engineer) considered a plus. * Capable of ...

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Data Engineer Contract information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do data engineer contract jobs pay per year?

As of May 30, 2026, the average yearly pay for data engineer contract in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.
More about Data Engineer Contract jobs
What are the most commonly searched types of Data Engineer jobs in Springfield, MA? The most popular types of Data Engineer jobs in Springfield, MA are:
What are popular job titles related to Data Engineer Contract jobs in Springfield, MA? For Data Engineer Contract jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Springfield, MA look for? The top searched job categories for Data Engineer Contract jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Engineer Contract jobs? Cities near Springfield, MA with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Springfield, MA as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,263 per year, or $62.1 per hour.

GCP Data Engineer

Interon IT Solutions

Hartford, CT • On-site

$115.50K - $138.70K/yr

Full-time

Posted 16 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.