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

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/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 ...

... AI readiness, AI initiatives and data integration governance across CRM, HubSpot, ERP, PIM ... PIM, product data, engineering attributes, product lifecycle and operational dataConnect product ...

New

... Remote Security Manger app. Fairport, NY is the headquarters for the Radionix sales & marketing ... Product, PIM & Engineering Data: PIM, product data, engineering attributes, product lifecycle and ...

New

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

... data, and AI solutions. We combine deep technical expertise with a collaborative culture that ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

... data, and AI solutions. We combine deep technical expertise with a collaborative culture that ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

... data, and AI solutions. We combine deep technical expertise with a collaborative culture that ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

... enterprise and AI architecture, data engineering, platform and software engineering, and ... The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ...

... enterprise and AI architecture, data engineering, platform and software engineering, and ... The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ...

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Showing results 1-20

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 Aug 25, 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 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 are the key skills and qualifications needed to thrive as a remote AI data engineer?

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 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:

Infographic showing various Remote Ai Data Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 59% Full Time, 29% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,987 per year, or $61.5 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • On-site, Remote

$150K - $200K/yr

Full-time

Re-posted 29 days ago


Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.
Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter
What You'll Do:
  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms - Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities

Required Skills:
  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS - Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB - including schema design and query optimization
  • Data modeling - conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions

Preferred:
  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

$150,000 - $200,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.