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Remote Ai Data Engineer Jobs in Rochester, NY (NOW HIRING)

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$65.25 - $84/hr

... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ... Document AI with Amazon Textract and Comprehend * Amazon Athena, QuickSight, or PowerBI integration

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $190K/yr

... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ... Document AI with Amazon Textract and Comprehend * Amazon Athena, QuickSight, or PowerBI integration

Deloitte

GCP Engineer

Rochester, NY · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Deloitte

Databricks Engineer

Rochester, NY · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ...

Deloitte

GCP Manager

Rochester, NY · On-site +1

... and data platforms and apply engineering to mission-critical operations. Our AI & Data practice ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Quora

AI Automation Engineer -Remote

Rochester, NY · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Act as a high-trust owner of systems that may handle sensitive data or business-critical logic

Quora

AI Automation Engineer -Remote

Geneseo, NY · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Act as a high-trust owner of systems that may handle sensitive data or business-critical logic

DataAnnotation

SDLC Engineer - AI Trainer

Rochester, NY · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Deloitte

Databricks Manager

Rochester, NY · On-site +1

... data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

DataAnnotation

QA Engineer - AI Trainer

Rochester, NY · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Remote Ai Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do remote ai data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote ai 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 are the key skills and qualifications needed to thrive as a Remote AI Data Engineer, and why are they important?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by Remote AI Data Engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is a Remote AI Data Engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in Rochester, NY? For Remote Ai Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Rochester, NY look for? The top searched job categories for Remote Ai Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Ai Data Engineer jobs? Cities near Rochester, NY with the most Remote Ai Data Engineer job openings:
Remote Ai Data Engineer jobs near you
Infographic showing various Remote Ai Data Engineer job openings in Rochester, NY as of May 2026, with employment types broken down into 62% Full Time, 20% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,987 per year, or $61.5 per hour.

Senior Data Engineer - Cloud & AI Platforms - AIRLHV

NavitasPartners

Rochester, NY • On-site, Remote

$40/hr

Other

Posted 3 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.

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