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

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type ... Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue ... About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue ... About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of scalable, cloud-native data pipelines. You'll be responsible for ...

Braintrust

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You'll partner with Product and Engineering on usage data and event schemas, and work directly with ... Clear judgment about data modeling, schema evolution, contracts, and lineage, with an instinct for ...

Mercor

Data Engineer - AI Coding Expert

New York, NY · Remote

$80/hr

Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated ...

Staffingine LLC

GCP Data Engineer

New York, NY · On-site

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 ...

Raylu, Inc

Senior Data Engineer

New York, NY · On-site

$165K - $230K/yr

Position Summary We're hiring a Senior Data Engineer to own data at truly massive scale. You'll ... Building resilient ELT/ETL with strong contracts, idempotency, and lineage. * Data operations : Set ...

Mecka AI

Forward Deployed Data Engineer

New York, NY · On-site

$180K - $250K/yr

You'll combine data engineering, hands-on analysis, and product judgment to deliver datasets ... Establish reliable dataset "contracts": schemas, versioning, provenance, and reproducible builds ...

Gemini

Senior Data Engineer

New York, NY · 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 ...

Gemini

Senior Data Engineer

New York, NY · On-site

$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 ...

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Showing results 1-20

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 Jul 27, 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 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.

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 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 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.

Data Engineer

Tror AI for everyone

New York, NY • On-site

$125K - $150K/yr

Contractor

Posted 5 days ago

Job description

Job Role: Data Engineer

Job Location: New York (100% onsite) (need local to NY or near by locations)

Job Type: Contract

Note: Interview mode: (Final round will be in person Interview at client location)

 

Note: Candidate need to have colab set up ready with Gmail account so they can code on the L1 interview

 

 

Must have skills:

Languages & Scripting: Spark, Python, Java, Scala, Hive, Kafka, SQL

Cloud Platforms: AWS

Data Warehousing & Analytics: Redshift or Snowflake or Big Query

Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks

CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes

 

Job Description:

  • Results-driven Data Engineer with a decade of expertise in Data engineering across cloud platforms with a total of 12 years in IT.
  • Extensive experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataprep, and Pub/Sub, for data engineering solutions.
  • Proficient in building and managing GCP data pipelines with tools like Cloud Composer and Cloud Dataflow.
  • Proven ability in developing and deploying applications on Google Kubernetes Engine (GKE).
  • Strong background in implementing security and compliance on GCP, ensuring data privacy and regulatory adherence.
  • Track record of optimizing cost and resource usage within GCP environments.
  • Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.
  • Expertise in architecting scalable, cost-effective solutions on AWS, with proficiency in configuring AWS Lambda for serverless computing.
  • Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness and data-driven decision-making.
  • Proficient in leveraging AWS DynamoDB to create scalable, low-latency NoSQL databases for dynamic applications.
  • Deep expertise in optimizing and managing Amazon Redshift data warehouses to deliver high-performance analytics and business insights.
  • Experienced in integrating AWS services into CI/CD pipelines, streamlining automation for continuous integration, delivery, and deployment.
  • Skilled in setting up and securing AWS Virtual Private Cloud (VPC) environments.
  • Proficient in managing Azure virtual machines (VMs) for cloud infrastructure operations.
  • Extensive experience managing on-premises data infrastructure, including data warehouses and databases.
  • Familiar with AWS DevOps practices for continuous integration and deployment.
  • Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
  • Skilled in performance optimization and tuning of on-premises data systems.
  • Proficient in data migration strategies between on-premises and cloud environments.
  • Strong troubleshooting skills in resolving issues within on-premises data systems.
  • Proven ability to maintain high availability and disaster recovery solutions in on-premises environments.
  • Experienced in implementing CI/CD pipelines using tools like Jenkins and GitLab CI/CD.
  • Adept in automated testing processes, including unit, integration, and regression testing.
  • Skilled in gathering and analyzing project requirements to ensure alignment with business goals.
  • Experienced in Agile project management, contributing to successful outcomes through data-driven analytics and collaborative teamwork.