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Remote Warehouse Material Handler Frito Lay Jobs in Rochester, NY

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

... warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of ... This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

... warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of ... This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ...

All JobsWarehouse Material Handler Frito Lay JobsRemote Warehouse Material Handler Frito Lay JobsRemote Warehouse Material Handler Frito Lay Jobs in Rochester, NY

Remote Warehouse Material Handler Frito Lay information

See Rochester, NY salary details

$11

$17

$22

How much do remote warehouse material handler frito lay jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote warehouse material handler frito lay in Rochester, NY is $17.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.47 per hour, depending on experience, location, and employer.

What does a remote warehouse material handler at Frito Lay do?

A Remote Warehouse Material Handler at Frito Lay is responsible for managing and moving materials within a warehouse, often using technology to coordinate tasks remotely. This includes receiving shipments, organizing inventory, loading and unloading trucks, and ensuring products are properly stored and ready for distribution. The role may also involve using warehouse management systems and equipment like forklifts or pallet jacks. Attention to detail and the ability to follow safety protocols are important in this position.

What are some common challenges faced by remote warehouse material handlers at Frito Lay, and how can they be addressed?

Remote Warehouse Material Handlers at Frito Lay often encounter challenges such as coordinating shipments and inventory tracking without face-to-face interaction, adapting to new digital inventory systems, and maintaining effective communication with on-site staff. To address these, it’s important to become proficient with Frito Lay’s warehouse management software and to practice proactive communication with team members through digital tools. Additionally, setting up a dedicated workspace and maintaining a regular schedule can help ensure productivity and accuracy in this remote setting.

What are the key skills and qualifications needed to thrive as a remote warehouse material handler at Frito Lay, and why are they important?

To thrive as a Remote Warehouse Material Handler at Frito Lay, you need basic warehouse operations knowledge, attention to detail, and often a high school diploma or equivalent. Familiarity with inventory management systems, handheld scanners, and pallet jacks or forklifts is typically required, with certification for forklift operation being an advantage. Strong organizational skills, teamwork, and reliability help you stand out in a fast-paced environment. These skills ensure efficient, accurate handling and distribution of materials, supporting smooth warehouse operations and timely product delivery.

What is the difference between Remote Warehouse Material Handler Frito Lay vs Remote Warehouse Associate Frito Lay?

AspectRemote Warehouse Material Handler Frito LayRemote Warehouse Associate Frito Lay
CertificationsTypically requires forklift and safety certificationsUsually requires basic warehouse safety training
Work EnvironmentWarehouse, distribution centers, often involves physical tasksWarehouse setting, focusing on inventory and order processing
Job ResponsibilitiesHandling materials, operating equipment, stockingOrder picking, packing, inventory management
Common UsageUsed interchangeably in some regions, but Material Handler emphasizes physical tasksMore general, includes administrative aspects

While both roles operate within Frito Lay's warehouse environment, the Remote Warehouse Material Handler focuses more on physical handling and equipment operation, whereas the Remote Warehouse Associate often involves inventory and order processing tasks. Understanding these distinctions can help job seekers identify the right position for their skills and certifications.

What are the most commonly searched types of Warehouse Material Handler Frito Lay jobs in Rochester, NY?

The most popular types of Warehouse Material Handler Frito Lay jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Warehouse Material Handler Frito Lay jobs?

Cities near Rochester, NY with the most Remote Warehouse Material Handler Frito Lay job openings:

Remote Warehouse Material Handler Frito Lay jobs near you

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 27 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

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.