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Python Cloud Engineer Jobs in Minnesota (NOW HIRING)

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Cloud Data Engineer Must Have Technical/Functional Skills: * Data engineering background and ... Good Python programming skills. * Experience sourcing and exposing data via Rest API.

A.C. Coy

Cloud Security Engineer/Architect (Remote)

Eagan, MN · Remote

$66.75 - $88.75/hr

Tier One Technologies has an immediate need for a Cloud Security Engineer/Architect for our US ... Proficiency in Python, Go, or Bash to build custom security automations and integrate with SOAR ...

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Showing results 41-60

All JobsPython Cloud Engineer JobsPython Cloud Engineer Jobs in Minnesota

Python Cloud Engineer information

See Minnesota salary details

$22.5K

$137.1K

$198.3K

How much do python cloud engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for python cloud engineer in Minnesota is $137,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $161,100.00 per year, depending on experience, location, and employer.

What does a Python Cloud Engineer do?

A Python Cloud Engineer is responsible for designing, developing, and maintaining cloud-based applications and infrastructure using the Python programming language. They work with cloud platforms like AWS, Azure, or Google Cloud to build scalable, secure, and efficient solutions. Their tasks often include writing automation scripts, deploying cloud resources, and ensuring the reliability and performance of cloud systems. They also collaborate with development and operations teams to streamline cloud workflows and troubleshoot issues.

What are the key skills and qualifications needed to thrive as a Python Cloud Engineer?

To thrive as a Python Cloud Engineer, you need strong proficiency in Python programming, a good understanding of cloud platforms like AWS, Azure, or Google Cloud, and experience with infrastructure-as-code and automation tools. Familiarity with CI/CD pipelines, containerization technologies (such as Docker and Kubernetes), and relevant certifications like AWS Certified Developer or Google Cloud Professional are typically important. Excellent problem-solving, collaboration, and communication skills help you navigate complex projects and work effectively in cross-functional teams. These skills and qualities are essential for developing, deploying, and maintaining scalable cloud-based solutions efficiently and securely.

How does a Python Cloud Engineer typically collaborate with cross-functional teams on cloud-based projects?

Python Cloud Engineers frequently work alongside DevOps specialists, software developers, and cloud architects to design, implement, and optimize cloud solutions. They are often involved in code reviews, infrastructure automation, and troubleshooting sessions, ensuring that services are scalable and reliable. Regular communication, agile methodologies, and shared documentation are key practices, enabling smooth integration of cloud-native applications and services across the organization.

What is the difference between Python Cloud Engineer vs Cloud Software Developer?

AspectPython Cloud EngineerCloud Software Developer
Required CredentialsPython certifications, cloud platform certifications (AWS, Azure)Programming certifications, cloud platform knowledge
Work EnvironmentCloud environments, DevOps tools, scriptingApplication development, cloud deployment
Employer & Industry UsageTech companies, cloud service providersSoftware firms, SaaS providers
Search & Comparison IntentYesYes

The main difference is that Python Cloud Engineers focus on designing and maintaining cloud infrastructure using Python, while Cloud Software Developers primarily develop applications for cloud platforms. Both roles require cloud platform knowledge and programming skills but differ in their core responsibilities and focus areas.

What cities in Minnesota are hiring for Python Cloud Engineer jobs?

Cities in Minnesota with the most Python Cloud Engineer job openings:

Infographic showing various Python Cloud Engineer job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $137,089 per year, or $65.9 per hour.

Data Engineer Supply Chain Planning

Eden Prairie, MN • On-site

Saigepartners
See more jobs at Saigepartnersexternal

$116K - $140K/yr

Other

Posted 24 days ago

Job description

Data Platform Engineer II Seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in Google Cloud Platform (GCP).

Key Responsibilities
  • Drive the roadmap and continuous improvement of data ingestion, orchestration, and platform tools.
  • Build CI/CD, deployment automation, reusable frameworks, and self-service tools.
  • Support and enhance Python-based data ingestion frameworks.
  • Establish SDLC, source control, deployment, and engineering standards.
  • Improve platform reliability, monitoring, observability, and developer productivity.
  • Partner with Data Engineering, Architecture, Infrastructure, Security, Governance, and Analytics teams.
  • Evaluate new technologies and help shape enterprise data platform strategy.
  • Create technical documentation, onboarding materials, and operational standards.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, MIS, or related field.
  • 7+ years of experience with enterprise data, analytics, cloud, DevOps, ingestion, orchestration, or related platforms.
  • Strong experience with CI/CD, automation, SDLC standards, and platform roadmaps.
  • Python, SQL, or scripting experience.
  • Experience building reusable tools, frameworks, and developer enablement solutions.
  • Strong communication, problem-solving, and cross-functional collaboration skills.
  • Ability to influence technical direction across teams.
Preferred
  • Preferred GCP experience with BigQuery, Cloud Storage, Composer/Airflow, Pub/Sub, Dataflow, Dataproc, Kubernetes/GKE, Cloud Build, or similar services.
  • Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD tools.
  • Experience with APIs, large-scale data ingestion, semantic layers, analytics, or AI platforms.
  • Experience supporting enterprise Data & Analytics organizations.

Salary: $113,000 - $158,000 + Bonus

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