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

Sr. Data Engineer with ML

New York, NY ยท On-site

$125K - $150K/yr

W2 contract Data Engineer with Python and hands on experience using MLFlow - the project is to set-up experiments using MLFlow with ability to save artifacts, use MLFlow API's, configure MLFlow and ...

Contract * Architect and implement scalable cloud solutions using Python and GCP Bigtable Troubleshoot and resolve issues related to cloud data storage and applications * Collaborate with DevOps ...

Data Engineer II

New York, NY

$125K - $150K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Data Engineer II

Stamford, CT ยท On-site

$122K - $146K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

EDI Data Engineer (Healthcare Domain)

New York, NY ยท Remote

$117K - $140K/yr

Contract Note: Need minimum 10+ years experience and recent lead expertise Summary: * The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and ...

Data Engineer II

Jericho, NY ยท On-site

$118K - $142K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Senior Data Engineer

New York, NY ยท On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data ... Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token ...

Senior Data Engineer

New York, NY ยท On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data ... Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token ...

Gain America is recruiting a Data Engineer for contract and contract-to-hire engagements with our enterprise clients in the New York, NY market. Build the pipelines and warehouses that turn raw data ...

Staff Data Engineer

New York, NY ยท On-site

$200K - $235K/yr

Establish company-wide data standards for modeling, lineage, contracts, and orchestration ... Elevate engineering practices across Analytics, Data, and Engineering teams through architecture ...

Showing results 21-40

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:

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 with ML

Accord Technologies Inc.

New York, NY โ€ข On-site

$125K - $150K/yr

Contractor

Re-posted 22 days ago


Job description

 Title: Sr. Data Engineer
Location: NYC,NY
Duration: long term
Position type: W2 contract

  
Job Description

Data Engineer with Python and hands on experience using MLFlow -  the project is to set-up experiments using MLFlow with ability to save artifacts, use MLFlow API's, configure MLFlow and Databrics funcitioning for running experiemnts..

 Job Description:

We are seeking a skilled Hybrid Data Engineer to manage and optimize our machine learning lifecycle across a hybrid environment of on-premises open-source tools and cloud-based platforms.
The ideal candidate will have experience working with MLflow, Databricks, and open-source machine learning frameworks, enabling seamless integration, experiment tracking, model management, and deployment.

Responsibilities:

  • Design, implement, and maintain a hybrid ML infrastructure that connects on-premises open-source tools with cloud platforms like Databricks.
  • Enable experiment tracking, model versioning, and lifecycle management using MLflow integrated with Databricks notebooks.
  • Manage the registration, versioning, and deployment of machine learning models across environments.
  • Collaborate with data scientists and ML engineers to streamline workflows and ensure scalable, reliable model deployment.
  • Configure MLflow servers and APIs to connect securely and efficiently with existing data sources and deployment targets.
  • Optimize data pipelines and model deployment processes for both on-premises and cloud environments.
  • Ensure best practices for reproducibility, security, and scalability in ML workflows.

Qualifications:

  • Proven experience with MLflow, Databricks, and open-source machine learning frameworks.
  • Strong understanding of data engineering, model lifecycle management, and cloud computing.
  • Experience with deploying and managing machine learning models in hybrid environments.
  • Knowledge of Apache Spark, Python, and Linux/Unix systems.
  • Excellent collaboration and communication skills.