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Python Aws Jobs in Michigan (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI

$99K - $232K/yr

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Diverse Lynx

Gen AI Engieer

Detroit, MI · Hybrid

Must Have Skills GEN AI, Agentic AI, Python, RAG, LLM, LangChain, LangGraph, MCP, FastAPI, Microservices, CI/CD, Cloud (AWS, GCP), ETL, Distributed Systems, React JS, Django, Flask Nice to have ...

New

Megan soft Inc

AWS Cloud Engineer (W2 Position)

Dearborn, MI · On-site

$51.25 - $68.50/hr

Python - Writes production-grade automation for cloud operations: CLIs and functions that interact with AWS/GCP SDKs, handle pagination/retries/backoff, and include tests and logging. * Builds small ...

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Python Aws information

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$75

How much do python aws jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python aws in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

Does Python work with AWS?

Python is widely used in AWS environments for scripting, automation, and developing cloud applications. AWS provides SDKs like Boto3 that enable Python developers to interact with AWS services easily, making it a popular choice for cloud-based development and DevOps roles.

What is the difference between Python Aws vs Cloud Engineer?

AspectPython AwsCloud Engineer
Required CredentialsAWS certifications, Python proficiencyCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentDevelopment, scripting, automation in cloud environmentsDesign, implement, manage cloud infrastructure
Employer & Industry UsageTech companies, startups, cloud service providersLarge enterprises, IT firms, cloud service providers
Common Search & ComparisonYesYes

Python Aws focuses on scripting and automation using Python within AWS environments, while Cloud Engineer involves designing and managing overall cloud infrastructure across multiple platforms. Both roles require cloud certifications, but Python Aws emphasizes coding skills, whereas Cloud Engineers focus on architecture and deployment.

What are Python AWS developers?

Python AWS developers are professionals skilled in using the Python programming language to build, deploy, and manage applications on Amazon Web Services (AWS). They leverage AWS services such as Lambda, EC2, S3, and others, often using Python libraries like Boto3 to automate cloud operations. These developers are responsible for creating scalable, cloud-native solutions and integrating various AWS services through Python scripts. Their expertise helps businesses efficiently use AWS resources and optimize cloud-based workflows.

How do Python AWS professionals typically collaborate with other teams in cloud-based projects?

Python AWS professionals often work closely with DevOps engineers, cloud architects, and software developers to design, develop, and deploy scalable cloud applications. Collaboration usually involves participating in sprint planning meetings, code reviews, and infrastructure discussions to ensure seamless integration of Python-based solutions with AWS services. Effective communication and familiarity with CI/CD pipelines are essential, as these roles require coordinating on deployments, troubleshooting, and optimizing cloud resources for performance and cost-efficiency.

Which AWS jobs are in demand?

AWS-related jobs in demand include Cloud Engineer, DevOps Engineer, Solutions Architect, and Cloud Security Specialist. These roles require skills in cloud infrastructure, automation, and certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer. Demand is driven by organizations migrating to cloud platforms and seeking expertise in managing scalable, secure environments.

What is the salary of Python AWS developer?

The salary of a Python AWS developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications such as AWS Certified Developer. Senior roles or those with specialized skills may earn higher compensation.

Are Python coders still in demand?

Python developers are currently in high demand across various industries due to the language's versatility and widespread use in web development, data analysis, machine learning, and cloud computing. Skills in frameworks like Django or Flask, along with knowledge of cloud platforms such as AWS, can enhance job prospects for Python coders.

What are the key skills and qualifications needed to thrive as a Python AWS Developer, and why are they important?

To thrive as a Python AWS Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing fundamentals, and experience with AWS services such as Lambda, EC2, and S3, often backed by a relevant degree or AWS certification. Familiarity with tools like AWS CLI, CloudFormation, and containerization platforms (e.g., Docker) is typically required. Problem-solving ability, effective communication, and adaptability are vital soft skills for collaborating and troubleshooting in dynamic cloud environments. These skills and qualifications are crucial for building scalable, secure, and efficient cloud-based applications that meet business needs.
What are popular job titles related to Python Aws jobs in Michigan? For Python Aws jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Aws jobs in Michigan look for? The top searched job categories for Python Aws jobs in Michigan are:
Python Aws jobs near you
Infographic showing various Python Aws job openings in Michigan as of June 2026, with employment types broken down into 1% Internship, 90% Full Time, 3% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $106,276 per year, or $51.1 per hour.
Sr. Data Engineer - AWS, Snowflake, Python

Sr. Data Engineer - AWS, Snowflake, Python

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Posted 9 days ago

Job description

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts.

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

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