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Data Engineer Jobs in Rochester, NY (NOW HIRING)

L3HHCM20

Senior Associate, Data Architect

Rochester, NY · On-site

$84K - $156K/yr

Proficiency in Python and Git for data engineering tasks including scripting, automation, pipeline development, and modern development workflows * Experience with Palantir Foundry for data ...

Pwc

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Keenfinity

Senior Data Manager

Fairport, NY · Remote

PIM, product data, engineering attributes, product lifecycle and operational data * Connect product and engineering data needs with commercial, service, ERP and analytics use cases * ERP & ...

Keenfinity

Senior Data Manager

Fairport, NY · Remote

PIM, product data, engineering attributes, product lifecycle and operational data Connect product and engineering data needs with commercial, service, ERP and analytics use cases ERP & Operational ...

Keenfinity

Senior Data Manager

Fairport, NY · On-site

PIM, product data, engineering attributes, product lifecycle and operational data * Connect product and engineering data needs with commercial, service, ERP and analytics use cases * ERP & ...

Keenfinity

Senior Data Manager

Fairport, NY · On-site

PIM, product data, engineering attributes, product lifecycle and operational data Connect product and engineering data needs with commercial, service, ERP and analytics use cases ERP & Operational ...

Lthc

AI Engineer

Rochester, NY · On-site

Collaborates with data engineering teams to acquire, clean, and prepare data for model training. * Supports model evaluation, testing, and performance monitoring in pre-production environments.

Posted today

L3HHCM20

Application Developer Intern

Rochester, NY

$29 - $53.50/hr

Rochester, NY L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT ...

L3Harris

Application Developer Intern

Rochester, NY · On-site

$19 - $25/hr

Melbourne, FL L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT ...

L3Harris

Application Developer Intern

Rochester, NY

$19 - $25/hr

Melbourne, FL L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT ...

Socket.dev

AI Solutions Engineer

Rochester, NY · On-site

$120K - $150K/yr

Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI ... Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Rochester, NY

Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer in Rochester, NY is $127,987.00, 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 is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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For Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in Rochester, NY are:

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Cities near Rochester, NY with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rochester, NY as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,987 per year, or $61.5 per hour.

W2 Only :: Data Engineer (APIGEE, GCP & Kubernetes) in Rochester, NY (Locals) || 10+ Yr exp. Must

Rochester, NY • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$58.25 - $77.50/hr

Contractor

Re-posted 5 days ago

Job description

Job Title: Sr. Data Engineer (APIGEE, GCP & Kubernetes) 10-12+ years Exp. Must.
Location: Rochester, NY
Remote (Y/N): Yes (but preference is local profiles)
Duration: 9 Months (W2 Contract)
Mandatory skills: APIGEE, GCP & Kubernetes
Submission Requirements: Resume highlighting Kubernetes, multi-cloud, and API platform experience - Short summary in the resume top aligning to role requirements.
Job Description: The contractor will support the design, deployment, and stabilization of Mayo Clinic’s enterprise Apigee Hybrid API platform across multi-cloud (GCP, Azure/AKS) and on-prem environments, aligned with a parallel Akamai edge routing and security implementation. Responsibilities include provisioning and managing Kubernetes infrastructure, deploying Apigee Hybrid runtimes and Akamai components, configuring multi-cloud networking, and developing Terraform-based infrastructure as code. The role will also support CI/CD integration, observability and SIEM connectivity, and production readiness activities while collaborating with internal teams and external partners. This individual will operate in a milestone-driven environment, ensuring infrastructure readiness, supporting go-live timelines, and providing documentation and knowledge transfer for long-term operational ownership.
 
Required Skills: 
-3+ years Kubernetes (AKS required; GKE/on-prem preferred) 
-Strong multi-cloud (Azure & GCP) experience -Terraform / IaC and CI/CD pipeline experience 
-Familiarity with Apigee Hybrid architecture -Understanding of edge platforms (Akamai preferred) 
-Experience with observability, SIEM, and Zero-Trust security
 
Key Competencies: 
-Self-driven problem solver -Able to work in milestone-driven, dependency-heavy environment 
-Strong collaboration and documentation skills 
-Experience supporting cross-cloud and on-prem infrastructure 
Nice to Have: 
-Healthcare / regulated environment experience 
-Cloud or Kubernetes certifications 
-Apigee Hybrid or Akamai (Noname) experience 
-GitOps tools (ArgoCD, Flux)