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Data Engineer Contract Jobs in Riverside, CT (NOW HIRING)

Tatari

Senior Data Engineer

New York, NY · Hybrid

$170K - $200K/yr

Strong data modeling skills for analytics - curated/gold-layer datasets, schema design, partitioning and data contracts consumed by downstream services * Ongoing interest in agentic developer ...

Tatari

Senior Data Engineer

New York, NY · On-site

$170K - $200K/yr

Strong data modeling skills for analytics - curated/gold-layer datasets, schema design, partitioning and data contracts consumed by downstream services * Ongoing interest in agentic developer ...

Plot Technologies, Inc

Staff Data Engineer

New York, NY · On-site

You'll lead decisions around which workloads belong where, and design the systems and contracts ... You'll define best practices, unblock other engineers, and become a go-to resource for data-related ...

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Showing results 41-60

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Riverside, CT

Data Engineer Contract information

See Riverside, CT salary details

$47.2K

$137.5K

$188.1K

How much do data engineer contract jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer contract in Riverside, CT is $137,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

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 typical daily responsibilities of a data engineer contract?

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.

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 job categories do people searching Data Engineer Contract jobs in Riverside, CT look for?

The top searched job categories for Data Engineer Contract jobs in Riverside, CT are:

What cities near Riverside, CT are hiring for Data Engineer Contract jobs?

Cities near Riverside, CT with the most Data Engineer Contract job openings:

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Riverside, CT as of June 2026, with employment types broken down into 50% Full Time, 6% Part Time, and 44% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $137,460 per year, or $66.1 per hour.

Sr. Data Engineer ( w / ITIL) : New York City, NY : Contract on w2

Marvel Technologies Inc

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 6 days ago

Job description

Sr. Data Engineer - ONLY w2 consultants please 

New York City, NY

Our Client is hiring a Sr. Data Engineer with ITIL (Snowflake, SnowSQL, Python, Pyspark) (ServiceNow or Jenkins) for New York City, NY

Need local resumes with strong Banking Domain experience.

ITIL Certification is MUST HAVE

Job Description:

Overview -

  • We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will possess expertise in data pipeline development, data warehousing, and have a solid understanding of ITIL processes to support operational efficiency. 

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using SQL, Python, and PySpark.
  • Build and optimize data warehouses leveraging Snowflake for efficient data storage and retrieval.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Monitor and troubleshoot data workflows ensuring data quality and performance.
  • Document data processes and procedures following ITIL best practices.

Technical Skills:

  • 10 years of experience in data engineering or related roles.
  • Strong proficiency in writing complex queries for data extraction, transformation, and loading (ETL).
  • Experience in Python coding and PySpark frameworks.
  • Strong experience in SQL
  • Hands-on experience with designing, implementing, and managing data warehouses.
  • Deep understanding of Snowflake platform features, architecture, and best practices.
  • Experience with ITIL framework, especially in Incident Management and Problem Management.
  • Experience in Servicenow or Jenkins
  • Proven experience handling incident resolution, root cause analysis, and problem tracking within ITSM tools. 

Preferred Certifications:

  • ITIL Foundation or higher.
  • Snowflake Certification.
  • Any relevant certifications in big data, Python, or SQL.