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Data Engineer Contract Jobs in Rochester, NY (NOW HIRING)

Rochester Regional Health

Data Architect

Rochester, NY · On-site

$90K - $122K/yr

Collaborate with engineering, analytics, and business teams to understand data requirements and ... contracts. Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants ...

TalentBurst, Inc.

Data Analyst 1

Fairport, NY · On-site

Role Overview We are seeking a contract engineer or data analyst to complete the implementation of the coating thin film data analysis solution. The system automates coating run data review and ...

Element Materials Technology

Data Processor

Geneseo, NY · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Paychex

Database Engineer I

Webster, NY · On-site +1

$76K - $120K/yr

Administer modern Data Lakehouse Platforms such as Snowflake, One Lake, and Databricks * Support ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

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Pacer Group

Firmware Engineer

Rochester, NY · On-site

Rochester NY Job Duration: 3 months, Contract to Hire Job Summary: * You will be working on ... data acquisition and post processing of data for analysis and reports. * This team of engineers ...

City of Rochester (NY)

City Engineer

Rochester, NY · On-site

$112K - $148K/yr

Reviews and evaluates plans, designs, working drawings, estimates, contracts, records, reports and related engineering and/or architectural data and makes recommendations; Assists in the preparation ...

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All JobsData Engineer Contract JobsData Engineer Contract Jobs in Rochester, NY

Data Engineer Contract information

See Rochester, NY salary details

$43.9K

$128K

$175.2K

How much do data engineer contract jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineer contract in Rochester, NY is $128,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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 are the most commonly searched types of Data Engineer jobs in Rochester, NY? The most popular types of Data Engineer jobs in Rochester, NY are:
What are popular job titles related to Data Engineer Contract jobs in Rochester, NY? For Data Engineer Contract jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Rochester, NY look for? The top searched job categories for Data Engineer Contract jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Engineer Contract jobs? Cities near Rochester, NY with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Rochester, NY as of June 2026, with employment types broken down into 2% As Needed, 68% Full Time, 28% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $128,045 per year, or $61.6 per hour.

Senior Data Engineer - Cloud & AI Platforms - AIRLHV

NavitasPartners

Rochester, NY • On-site, Remote

$40/hr

Full-time

Posted 21 days ago

Job description

Senior Data Engineer – Cloud & AI Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases.

Key Responsibilities:

  • Architect and develop scalable data pipelines and cloud-native data solutions
  • Collaborate with data scientists, analysts, and business stakeholders
  • Ensure high performance, data quality, and governance across platforms

Required Skills:

  • Strong experience in data engineering and cloud-based architectures
  • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery
  • Proficiency in AWS, Azure, or GCP environments

Nice to Have:

  • Experience with ML/AI pipelines (Python, PyTorch, MLOps)
  • Exposure to GenAI frameworks such as LangChain or agent-based systems
  • Familiarity with AI governance and compliance standards

For more details reach at resumes@navitassols.com.