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Day Shift Amazon Python Jobs in Addison, IL (NOW HIRING)

Kemper

Python Engineer Manager

Downers Grove, IL

... day. We believe a high-performing culture, valuable opportunities for personal development and ... Experience with Amazon SageMaker is a plus * Knowledge of data manipulation techniques and data ...

Amazon

Onsite Medical Representative

Romeoville, IL · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... of shift reports. - Engage with AAs and leadership on operations floor to provide coaching ...

Amazon

Onsite Medical Representative

Romeoville, IL · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... of shift reports. - Engage with AAs and leadership on operations floor to provide coaching ...

Amazon

Area Manager

Chicago, IL · On-site

... and smiles to Amazon customers every day. We are looking for motivated, customer-focused ... shift/work area, including weekends, nights, and/or holidays - Do you currently hold a valid and ...

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All JobsDay Shift Amazon Python JobsDay Shift Amazon Python Jobs in Addison, IL

Day Shift Amazon Python information

See Addison, IL salary details

$13

$58

$86

How much do day shift amazon python jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for day shift amazon python in Addison, IL is $58.73, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Amazon Python vs Day Shift Amazon Data Analyst?

AspectDay Shift Amazon PythonDay Shift Amazon Data Analyst
Required SkillsPython programming, data analysis, scriptingData analysis, SQL, Excel, Python (optional)
Work EnvironmentWarehouse, logistics, scripting tasksOffice, data reporting, analysis
CertificationsPython certifications, data analysis coursesData analysis certifications, SQL certifications
Industry UsageAutomation, process optimizationPerformance metrics, reporting

While both roles involve data handling, the Day Shift Amazon Python role focuses on scripting and automation within logistics operations, whereas the Day Shift Amazon Data Analyst emphasizes data reporting and analysis to improve business decisions. The roles share some technical skills but differ in daily tasks and work environment.

What job categories do people searching Day Shift Amazon Python jobs in Addison, IL look for? The top searched job categories for Day Shift Amazon Python jobs in Addison, IL are:
What cities near Addison, IL are hiring for Day Shift Amazon Python jobs? Cities near Addison, IL with the most Day Shift Amazon Python job openings:
Day Shift Amazon Python jobs near you
Infographic showing various Day Shift Amazon Python job openings in Addison, IL as of June 2026, with employment types broken down into 5% As Needed, 38% Full Time, 12% Part Time, and 45% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $122,160 per year, or $58.7 per hour.

Sr Python Engineer

People Force Consulting Inc

Chicago, IL • On-site

Other

Posted 2 days ago

New

Job description

Senior Software Engineer with expertise in Python, Data Analytics, Graph Databases, and AWS, responsible for designing, building, and supporting scalable cloud-native backend services, APIs, and data-driven solutions.

Responsibilities: -

  • Design, build, and maintain backend services and APIs using Python (FastAPI, Flask, Django).
  • Model and query complex relationships using Graph Databases such as Neo4j, Amazon Neptune, or similar.
  • Architect, deploy, and operate cloud-native services on AWS (Lambda, EC2/ECS/EKS, API Gateway, S3, RDS/DynamoDB/Neptune, CloudWatch, IAM, etc.).
  • Contribute to system design discussions, architectural reviews, and technical decision-making.
  • Implement CI/CD pipelines, automation, observability (logging/metrics/tracing), and deployment best practices.
  • Write scalable, clean, well-tested, and maintainable code.
  • Collaborate closely with cross-functional teams including frontend, DevOps, and data/ML.
  • Troubleshoot production issues and optimize performance, reliability, and cost.
  • Mentor junior/mid-level engineers and promote engineering best practices.

Experience: - 8+ Years

Location: - Chicago, IL(Hybrid 3 days Onsite per week)

Educational Qualifications: -

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

  • Experience Strong expertise in Python backend development with hands-on experience in frameworks such as FastAPI, Flask, or Django for building scalable APIs and enterprise applications.
  • Practical experience working with Graph Databases such as Neo4j, Amazon Neptune, or similar technologies, including graph data modeling and querying using Cypher, Gremlin, or SPARQL.
  • Hands-on experience with AWS cloud services including compute, storage, networking, monitoring, identity, and database services such as Lambda, EC2, ECS/EKS, API Gateway, S3, RDS, DynamoDB, Neptune, CloudWatch, and IAM.
  • Strong understanding of RESTful API design, microservices architecture, distributed systems, and event-driven application development.
  • Experience working with both relational and NoSQL databases, including PostgreSQL and DynamoDB.
  • Hands-on experience with source control, CI/CD workflows, Docker containers, automated testing frameworks, and deployment best practices.
  • Strong debugging, performance optimization, troubleshooting, and system design capabilities.
  • Experience working on Data Analytics solutions and data-driven application development

Good to Have Skills

  • Experience with Go (Golang) for building microservices and backend tooling.
  • Understanding of .NET-based applications and backend architecture patterns.
  • Experience with Terraform and Infrastructure as Code for AWS deployments.
  • Hands-on exposure to Kubernetes (EKS), Helm, and container orchestration platforms.
  • Experience with messaging and streaming platforms such as Kafka, SQS/SNS, and Kinesis.
  • Knowledge of cloud security, networking concepts, and AWS best practices.

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