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Remote Amazon Food Science Jobs (NOW HIRING)

Remote -AWS Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon ... Science, Information Technology, Engineering, or a related field. Mandatory Skills · AWS Glue · ...

New

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Principal Nutrition Scientist

Lakeville, MA · On-site +1

$105K - $145K/yr

... remote. The Principal Nutrition Scientist will lead nutritional research initiatives for the ... Working knowledge of food science, analytical chemistry or food technology * Understanding of ...

Principal Nutrition Scientist

Lakeville, MA · On-site +1

$105K - $145K/yr

... remote. The Principal Nutrition Scientist will lead nutritional research initiatives for the ... food science, analytical chemistry or food technologyUnderstanding of nutrition and policy ...

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Remote Amazon Food Science information

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$12

$22

$33

How much do remote amazon food science jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote amazon food science in the United States is $22.58, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $28.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Amazon Food Scientist, and why are they important?

To excel as a Remote Amazon Food Scientist, you need a background in food science or a related field, strong analytical skills, and experience with product development or quality assurance. Familiarity with data analysis tools, food safety regulations, and digital collaboration platforms like AWS or Slack is typically required. Strong communication, problem-solving ability, and self-motivation are critical soft skills for remote teamwork and innovation. These skills and qualifications ensure effective product development, compliance, and seamless collaboration in a virtual environment.

What are the typical challenges faced by remote Amazon Food Science professionals, and how can they overcome them?

Remote Amazon Food Science professionals often encounter challenges such as coordinating product development and testing with on-site teams, ensuring compliance with food safety regulations, and maintaining effective communication across different time zones. Overcoming these challenges requires strong project management skills, proficiency with digital collaboration tools, and proactive communication to keep all stakeholders aligned. Building relationships with cross-functional teams and staying updated on regulatory changes also help remote employees contribute effectively and advance in their roles.

What is a Remote Amazon Food Science job?

A Remote Amazon Food Science job involves working for Amazon in roles related to food science, such as research and development, food safety, product quality, and regulatory compliance, but from a remote location. Employees in these positions may analyze food products, develop new offerings, or ensure products meet safety standards, all while collaborating virtually with teams. These roles often require a background in food science or a related discipline and strong communication and analytical skills. Remote positions offer flexibility, allowing professionals to work from home or other locations rather than from a traditional office or laboratory setting.
More about Remote Amazon Food Science jobs
What cities are hiring for Remote Amazon Food Science jobs? Cities with the most Remote Amazon Food Science job openings:
What are the most commonly searched types of Amazon Food Science jobs? The most popular types of Amazon Food Science jobs are:
What states have the most Remote Amazon Food Science jobs? States with the most job openings for Remote Amazon Food Science jobs include:
Infographic showing various Remote Amazon Food Science job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $46,976 per year, or $22.6 per hour.

Remote -AWS Data Engineer

INFT Solutions Inc

Atlanta, GA • Remote

$110K - $132K/yr

Contractor

Posted 2 days ago

New


Job description

Job Title: AWS Data Engineer
Location: Remote
Employment Type: Contract / Full-Time

Job Summary
We are seeking a highly skilled AWS Data Engineer with strong experience in building scalable cloud-native data platforms and ETL pipelines on AWS. The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon EKS, Kubernetes, Lambda, S3 Data Lake architectures, SQS, KEDA, Glue Data Catalog, Glue Data Quality, and CloudWatch.
Key Responsibilities

·Design, develop, and maintain scalable ETL pipelines using AWS Glue and Apache Spark (PySpark).

·Build and orchestrate data workflows using AWS Step Functions.

·Design and implement S3 Data Lake architectures following AWS best practices.

·Develop and deploy containerized applications on Amazon EKS using Kubernetes.

·Build event-driven data processing solutions using Amazon SQSAWS Lambda, and KEDA for auto-scaling.

·Manage metadata using AWS Glue Data Catalog.

·Implement data validation and governance using AWS Glue Data Quality.

·Monitor applications and data pipelines using Amazon CloudWatch.

·Optimize ETL jobs, Spark workloads, and Kubernetes deployments for performance and scalability.

·Collaborate with architects, developers, DevOps, and business stakeholders to deliver robust cloud data solutions.

·Participate in Agile ceremonies including sprint planning, code reviews, and production deployments.

Required Skills

·5+ years of experience in Data Engineering or Cloud Engineering.

·Strong hands-on experience with AWS Glue.

·Experience building Spark ETL pipelines using PySpark.

·Experience with AWS Step Functions.

·Strong knowledge of Amazon S3 Data Lake architecture and storage patterns.

·Hands-on experience with Amazon EKS and Kubernetes.

·Experience implementing event-driven architectures using Amazon SQSAWS Lambda, and KEDA.

·Experience with AWS Glue Data Catalog and Glue Data Quality.

·Strong experience monitoring AWS workloads using Amazon CloudWatch.

·Good understanding of distributed data processing and cloud-native application design.

·Experience working in Agile/Scrum environments.
Preferred Skills

·Python / PySpark

·SQL

·Terraform or CloudFormation

·Docker

·Git

·CI/CD (Jenkins, GitHub Actions, CodePipeline)

·Kafka

·Apache Airflow

·Delta Lake / Iceberg / Lake Formation

·IAM, VPC, CloudTrail
Education

·Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Mandatory Skills

·AWS Glue

·Spark ETL / PySpark

·AWS Step Functions

·Amazon S3 Data Lake

·Amazon EKS

·Kubernetes

·Amazon SQS

·KEDA

·AWS Lambda

·Glue Data Catalog

·Glue Data Quality

·Amazon CloudWatch
Nice to Have

·Terraform

·Docker

·Python

·SQL

·CI/CD

·Kafka

·AWS Certifications (Solutions Architect, Developer, Data Engineer, or DevOps Engineer)