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Remote Amazon Flex Delivery Driver Jobs in Rochester, NY

Innovative Solutions

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 ... Mentor delivery team members on data architecture patterns and AWS data services * Contribute to R& ...

Innovative Solutions

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 ... Mentor delivery team members on data architecture patterns and AWS data services * Contribute to R& ...

KEYENCE

Field Application Engineer '27

Fairport, NY · On-site +1

$53K - $80K/yr

Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ... Valid driver's license and personal vehicle * Ability to lift and transport demo equipment (35-85 ...

Cargill

Dairy Focus Consultant (Open to remote)

Batavia, NY · On-site +1

$63K - $76K/yr

Develop and deliver proposals and presentations and help conduct product demonstrations. * Build ... Valid driver's license in good standing Preferred Qualifications * Dairy, feed, animal nutrition ...

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All JobsAmazon Delivery Driver JobsRemote Amazon Flex Delivery Driver JobsRemote Amazon Flex Delivery Driver Jobs in Rochester, NY

Remote Amazon Flex Delivery Driver information

See Rochester, NY salary details

$8

$18

$24

How much do remote amazon flex delivery driver jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote amazon flex delivery driver in Rochester, NY is $18.21, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $19.90 per hour, depending on experience, location, and employer.

What is a remote Amazon Flex delivery driver?

A Remote Amazon Flex Delivery Driver is an independent contractor who delivers Amazon packages to customers using their own vehicle. While the role is often described as 'remote' because drivers select their own delivery blocks and have flexibility, it does require physically picking up packages from designated Amazon locations and delivering them to customer addresses. Drivers use the Amazon Flex app to schedule shifts, navigate routes, and manage deliveries. The position offers flexibility and the opportunity to earn income on your own schedule. However, it is important to note that deliveries cannot be made entirely from home; travel is required.

What skills and qualifications are needed to thrive as a remote Amazon Flex delivery driver?

To thrive as a Remote Amazon Flex Delivery Driver, you need a valid driver’s license, a reliable vehicle, a clean driving record, and familiarity with local streets or GPS navigation. Proficiency with the Amazon Flex app and smartphone technology is essential for managing routes, schedules, and deliveries. Strong time management, customer service, and problem-solving skills help drivers efficiently handle deliveries and interact positively with customers. These skills ensure timely, accurate deliveries and high customer satisfaction, which are crucial for success in this role.

What are common challenges faced by remote Amazon Flex delivery drivers, and how can they be addressed?

Remote Amazon Flex Delivery Drivers often encounter challenges such as navigating unfamiliar routes, managing time efficiently to meet delivery windows, and handling package volume during peak periods. To address these, drivers should familiarize themselves with navigation apps, plan routes ahead of time, and maintain clear communication with Amazon support if issues arise. Staying organized and keeping a well-maintained vehicle can also help make deliveries smoother and more efficient.

What is the difference between Remote Amazon Flex Delivery Driver vs DoorDash Driver?

AspectRemote Amazon Flex Delivery DriverDoorDash Driver
CredentialsValid driver’s license, background checkValid driver’s license, background check
Work EnvironmentDelivering packages to customers, often in personal vehiclesDelivering food orders, often in personal vehicles
Employer & IndustryAmazon, e-commerce logisticsDoorDash, food delivery service
Work ScheduleFlexible, based on delivery availabilityFlexible, based on order demand

Both Remote Amazon Flex Delivery Drivers and DoorDash Drivers require a valid driver’s license and background check. They operate in similar environments, delivering goods or food using personal vehicles. Amazon Flex focuses on package delivery for e-commerce, while DoorDash specializes in food delivery. Both roles offer flexible schedules and are popular gig economy jobs.

What disqualifies you from Remote Amazon Flex Delivery Driver?

Remote Amazon Flex Delivery Drivers are disqualified if they do not meet age requirements, have a valid driver's license, a clean driving record, or do not pass background checks. Additionally, they must have access to a suitable delivery vehicle and a smartphone with the necessary app to complete deliveries. Failure to meet these criteria can result in disqualification from the role.

What cities near Rochester, NY are hiring for Remote Amazon Flex Delivery Driver jobs?

Cities near Rochester, NY with the most Remote Amazon Flex Delivery Driver job openings:

Remote Amazon Flex Delivery Driver jobs near you

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 16 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.