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Python Certification Jobs in Wheat Ridge, CO (NOW HIRING)

Senior Data Analyst and Engineer (ArcGIS)

Littleton, CO · On-site

$86.10K - $108.70K/yr

The ideal candidate will have strong skills in SQL, Python, and PowerShell, along with extensive ... Relevant certifications such as GISP (GIS Professional) or Esri Technical Certifications. Quevera ...

Python (and Selenium) * Current Security+ certification * Experience with Java Script * Software coding experience (e.g., Python) * Adjust code during testing * Unit test experience Salary: $125,000 ...

Power BI dashboards Data analysis and reporting for EV programs Python scripts and light API work ... N/a 5. re there any certifications that the candidate must possess? N/a 6. re there any preferred ...

Eng Sr - SW

Broomfield, CO

$123.40K - $162.70K/yr

... Python, Ruby, and Simulink to design, develop, integrate, and certify test system software and hardware for a variety of applications The Engineering, Science and Analysis (ESA) Strategic ...

Eng Sr - SW

Westminster, CO · On-site

$97.01K - $164.91K/yr

... Python, Ruby, and Simulink to design, develop, integrate, and certify test system software and hardware for a variety of applications The Engineering, Science and Analysis (ESA) Strategic ...

AWS/Azure Architect

Denver, CO

$65.25 - $85.25/hr

Java, C# and JavaScript, Python, Ruby and Go Strong scripting skills infrastructure/deployment ... Current AWS or Azure certifications are a plus. Working knowledge and experience with elastic cloud ...

Spring Boot, REST APIs, Docker, Kubernetes, AWS, Python, Power BI, SQL, Snowflake, and more. • ... • Certifications That Matter - Boost your résumé with industry-recognized credentials like ...

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Python Certification information

See Wheat Ridge, CO salary details

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How much do python certification jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for python certification in Wheat Ridge, CO is $62.30, according to ZipRecruiter salary data. Most workers in this role earn between $51.35 and $70.77 per hour, depending on experience, location, and employer.

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 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 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 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 cities near Wheat Ridge, CO are hiring for Python Certification jobs? Cities near Wheat Ridge, CO with the most Python Certification job openings:
Infographic showing various Python Certification job openings in Wheat Ridge, CO as of May 2026, with employment types broken down into 4% Locum Tenens, 12% As Needed, 71% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $129,580 per year, or $62.3 per hour.
Senior Data Analyst and Engineer (ArcGIS)

Senior Data Analyst and Engineer (ArcGIS)

Quevera

Littleton, CO • On-site

$86.10K - $108.70K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Data Analyst and Engineer (ArcGIS)

Location: Colorado * Clearance: Ability to attain a Public Trust Clearance

Position Overview: We are seeking a Senior Data Analyst and Engineer with deep expertise in ArcGIS and geospatial data systems to design, build, and maintain advanced data processing pipelines for enterprise-level GIS initiatives. This role will focus on capturing requirements, architecting geospatial databases, executing complex data migrations, and documenting all processes to ensure compliance with federal and organizational standards. The ideal candidate will have strong skills in SQL, Python, and PowerShell, along with extensive experience leveraging ArcGIS Data Interoperability and related ETL tools to manage spatial and non-spatial datasets.

Key Responsibilities:

  • Develop and maintain data processing pipelines and workflows for geospatial data integration using ArcGIS Enterprise, ArcGIS Pro, and ArcGIS Online.
  • Design and optimize database schemas, including enterprise geodatabases, to support spatial data storage, retrieval, and analysis.
  • Capture and analyze data requirements from stakeholders, translating them into actionable engineering solutions.
  • Perform data migration and transformation using ETL tools such as ArcGIS Data Interoperability, SQL Server Integration Services (SSIS), and open-source frameworks.
  • Ensure geospatial data quality, integrity, and compliance with federal metadata and governance standards (FGDC, ISO 19115).
  • Document data architectures, pipeline workflows, and integration processes for operational transparency and maintainability.
  • Collaborate with cross-functional teams, including GIS analysts, developers, and business users, to deliver scalable data solutions.
  • Support the development of automated geoprocessing scripts and data validation tools in Python and PowerShell to streamline workflows.
  • Provide guidance on best practices for managing geospatial data in enterprise environments and mentor junior team members.

Required Qualifications:

  • Bachelor's degree in Geographic Information Systems (GIS), Data Engineering, Computer Science, or a related technical discipline.
  • Minimum of 5 years' experience in data analysis and engineering, with significant work focused on geospatial data systems.
  • Proficiency in ArcGIS platforms, including ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Online.
  • Hands-on experience with ETL processes and tools such as ArcGIS Data Interoperability, SSIS, and Python-based frameworks.
  • Strong skills in SQL, Python, and PowerShell for data management and automation.
  • Experience designing and managing enterprise geodatabases and integrating spatial and non-spatial data.
  • Excellent documentation, analytical, and communication skills to convey technical concepts to diverse stakeholders.

Preferred Qualifications:

  • Experience working in federal data governance frameworks or other highly regulated environments.
  • Familiarity with cloud-hosted geospatial data environments (e.g., ArcGIS Enterprise on AWS/Azure).
  • Knowledge of advanced spatial analytics, geoprocessing, and metadata management.
  • Relevant certifications such as GISP (GIS Professional) or Esri Technical Certifications.

Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.