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Python Certification Jobs in Edmond, OK (NOW HIRING)

Team Lead of GIS

Oklahoma City, OK

$78K - $104K/yr

Champion adoption of automation and scripting - including Python and ModelBuilder - and AI-enabled ... GISP certification or equivalent professional GIS credential.

... JavaScript, Python, Groovy * Experience with * In-depth debugging and troubleshooting ... Understanding of certificates (TLS) * Understanding of load balancing algorithms Benefits include:

Senior Network Engineer

Oklahoma City, OK

$96K - $132K/yr

Cisco Certified Network Administrator (CCNA), Palo Alto Network Security Professional (PNSP), CWNP ... Understanding of SDN (Software-Defined Networking) and automation tools (e.g., Ansible, Python ...

Senior Cloud Engineer

Oklahoma City, OK · Hybrid

$51.75 - $69.25/hr

Strong scripting and automation skills (PowerShell, Python, Bash) * Solid understanding of ... Certifications such as Azure Solutions Architect Expert, AWS Solutions Architect Professional ...

Experience with Python, SQL, or FME for spatial data automation and ETL workflows. * Esri technical certifications (e.g., EADP, Desktop Associate/Professional) or equivalent. * History of technical ...

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Python Certification information

See Edmond, OK salary details

$9

$44

$64

How much do python certification jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python certification in Edmond, OK is $44.10, according to ZipRecruiter salary data. Most workers in this role earn between $36.35 and $50.10 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 can you do with a certificate in Python?

A Python certification can qualify you for roles such as Python developer, data analyst, or automation engineer. It demonstrates proficiency in programming, scripting, and problem-solving, often enabling work in software development, data analysis, machine learning, and automation tasks.

Are Python still in demand in 2026?

Python certification remains highly valuable for developers, data scientists, and automation specialists, as Python continues to be widely used across industries for web development, data analysis, machine learning, and scripting. Its versatility, extensive libraries, and strong community support contribute to sustained demand for Python skills in the job market through 2026.

What kind of job can I get with Python?

Python certification can qualify you for roles such as Python developer, data analyst, data scientist, automation engineer, or backend developer. These jobs often require knowledge of libraries like Pandas, NumPy, or frameworks such as Django and Flask, and may involve working in environments like cloud platforms or data centers.

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.

Are Python certifications worth getting?

Python certifications can enhance a Python developer's resume by validating skills and knowledge in the language, which may improve job prospects. However, practical experience and project work often weigh more heavily with employers than certifications alone. They are most beneficial when combined with hands-on coding and relevant job experience.
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Team Lead of GIS

$78K - $104K/yr

Full-time

Posted 23 days ago


Job description

Job Summary:

The GIS Team Lead is a proven leader responsible for directing Flywheel Energy’s geospatial program across all functional areas of the business. The GIS Team Lead balances competing enterprise priorities while partnering closely with the Flywheel Technology team to deliver scalable, high-quality spatial solutions.

As department head, this individual leads spatial data standardization, drives standard process creation and efficiency, and ensures that GIS capabilities are tightly aligned with Flywheel’s acquisition-driven growth strategy.

Flywheel Energy is a rapidly growing private oil and gas company focused on “Building momentum where it matters.” A strong candidate will thrive in a fast-paced environment, demonstrate executive-level leadership, and have a deep passion for leveraging GIS to drive operational and business value.

*Only candidates currently located in and around the Oklahoma City metro will be considered for this role. This position is not eligible for relocation. 

Key Responsibilities:

Leadership & Strategic Direction

  • Define and execute the GIS department’s strategic roadmap in alignment with Flywheel Energy’s business objectives and Technology team priorities.
  • Act as the primary GIS liaison to executive leadership, translating geospatial capabilities into business-impact terms for senior management.
  • Manage competing priorities across Land, Operations, Asset Development, and Technology to ensure GIS resources are deployed where they drive the most value.
  • Manage departmental budgets, allocate resources across multi-disciplinary teams, and report regularly to leadership on department outcomes and GIS roadmap progress.

Data Governance & Standardization:

  • Own and lead the GIS data governance, including spatial data standards, naming conventions, metadata management, QA/QC protocols, and master data management principles.
  • Establish and enforce consistent data models, layer schemas, and spatial data structures across acquired and legacy assets.
  • Develop and maintain standard operating procedures (SOPs) for all core GIS workflows, ensuring repeatability, accuracy, and scalability.
  • Drive continuous process improvement initiatives that reduce manual effort, increase data quality, and accelerate delivery timelines.
  • Champion adoption of automation and scripting – including Python and ModelBuilder – and AI-enabled tools to increase team efficiency.
  • Ensure GIS systems are integrated with land, operations, and financial platforms for seamless cross-functional data flow.
Required Qualifications:
  • Bachelor’s degree in Geographic Information Systems (GIS), Geography, Geomatics, Geology, or Computer Science; advanced degree or equivalent industry experience considered.
  • 5–8+ years of geospatial experience with a heavy emphasis on the oil and gas sector.
  • Advanced proficiency in ESRI ArcGIS Pro, ArcGIS Pipeline Referencing (APR), UPDM databases, and Python/ModelBuilder.
  • Deep understanding of linear referencing, horizontal drilling, subsurface data, and land/lease management.
  • Proven capacity to manage departmental budgets, allocate resources across multi-disciplinary teams, and communicate geospatial strategies to senior management.
  • Demonstrated expertise in enterprise GIS database administration and spatial data governance at scale.
  • Strong knowledge of oil and gas land, operational, and asset development workflows and how GIS supports each.
  • Experience managing teams, setting priorities, and delivering GIS solutions in a fast-paced, acquisition-driven environment.
  • Excellent communication skills with the ability to present complex spatial concepts clearly to executive and non-technical audiences.
  • Proficiency in SQL and/or spatial databases (PostgreSQL/PostGIS, SQL Server Spatial, or similar).

Preferred Qualifications:

  • Experience with GIS platforms used in oil and gas (e.g., ESRI, Enverus, IHS Markit, DrillingInfo, or comparable).
  • Experience with Power BI, Tableau, or similar BI platforms for spatial analytics and executive dashboards.
  • Knowledge of land administration systems (e.g., Quorum, WolfePak, OGsys, OnDemand Land) and integration with GIS.
  • Multi-state operational experience including Oklahoma and Arkansas.
  • Experience with LiDAR, aerial/satellite imagery, remote sensing, or 3D spatial modeling.
  • Familiarity with AI/ML applications in geospatial analysis or workflow automation.
  • Track record of SOP development, workflow documentation, and cross-functional training programs.
  • Experience managing vendor contracts, software licensing, and third-party GIS service providers.
  • GISP certification or equivalent professional GIS credential.