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Python Certification Jobs in Minnesota (NOW HIRING)

Develop and optimize SQL queries and Python-based solutions for data extraction, transformation ... We offer quality career resources, training, certifications, development opportunities, and a ...

New

Network Security Engineer

Virginia, MN · On-site

$140 - $190/hr

Develop automation scripts (Python/API) to streamline workflows and reduce manual effort * Create ... DoD 8140.03 formerly 8570 level II certification (e.g. CompTIA Security +, CySA+, Pentest +, CCNA ...

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python ... certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive ...

New

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They need to be strong in Python, SQL, Snowflake and AWS Athena as well as have expertise in data ... Employee pay is based on factors like relevant education, qualifications, certifications ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... as Python, Java, JavaScript or C# • Experience using messaging middleware such as RabbitMQ ... certification in Computer Science, or the equivalent related work experience • Design and ...

Showing results 21-40

Python Certification information

See Minnesota salary details

$12

$57

$84

How much do python certification jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python certification in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

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

To thrive as a Python Developer, you need strong proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.
What are popular job titles related to Python Certification jobs in Minnesota? For Python Certification jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Certification jobs in Minnesota look for? The top searched job categories for Python Certification jobs in Minnesota are:
Infographic showing various Python Certification job openings in Minnesota as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

AWS Application Architect

ATTO Technology solutions Inc.,

Minneapolis, MN • On-site

$64.25 - $84.50/hr

Contractor

Re-posted 1 hour ago


Job description

Company Description
Job Description
Position: AWS Application architect(10+yrs)
Location: Minneapolis, MN
Duration: 12+Months
Job Description:
  • AWS infra architect with experience of migration applications from on-premise, AWS certified.
  • Must have experience in architecting, deploying and maintaining large scale AWS deployments. Including Infra/Firewalls Security.
  • Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
  • Strong track record of implementing AWS services in a variety of distributed computing environments.
  • Leading highly-available and fault-tolerant enterprise and web-scale software deployments.
  • Infrastructure automation through DevOps scripting (E.g. Octopus, shell, Python, Ruby, Powershell).
  • Configuration management using CloudFormation, Chef & Puppet.
  • Strong practical Linux and Windows-based systems administration skills in a Cloud or Virtualized environment.
  • In depth experience with Cloud methodologies (IaaS, PaaS, SaaS), automation, orchestration, cost frameworks, trends and industry-leading private/public/hybrid cloud vendor offerings and interoperability.
  • Experience with Amazon Services such as AWS, S3, Elasic load balancing / Block / Relational Database.
  • Experience architecting automated data center processes, including provisioning, application and patch management, monitoring and alerting, capacity monitoring and planning, leveraging execution and human approval workflow design and implementation.
  • Experience with Business Continuity and Disaster Recover design, planning and implementation for virtualized infrastructures.
  • Experience scripting with bash, Ruby, Python and/or similar.
  • Experience in virtualization tools like Vagrant and Docker.
  • Experience with Continuous Development/Deployment/Integration design and best practices.
  • Experience managing and working with configuration management tools (Chef, Ansible).
  • Experience in Agile development practices (Kanban or Scrum).
  • Ability to see opportunities for improvement, take ownership and work closely with others to drive operational improvement.
  • Strong troubleshooting skills and ability to correlate system behaviors based on known interdependencies between those systems.
  • Ability to handle ambiguity, embracing change and helping others see it as an opportunity and able to stay focused on goals while adapting to change.

Qualifications
Bachelors
Additional Information
All your information will be kept confidential according to EEO guidelines.