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Flexible Python Gis Jobs in Surprise, AZ (NOW HIRING)

Data and AI Engineer II

Phoenix, AZ

$113K - $136K/yr

Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub ... Knowledgeable Practitioner of Python development with experience designing high quality, production ...

New

Data and AI Engineer II

Phoenix, AZ

$109K - $131K/yr

Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub ... Knowledgeable Practitioner of Python development with experience designing high quality, production ...

New

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub ... Knowledgeable Practitioner of Python development with experience designing high quality, production ...

New

Data and AI Engineer II

Phoenix, AZ

$109K - $131K/yr

Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub ... Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python ...

New

Transportation Planner

Phoenix, AZ · On-site

$68K - $80K/yr

Support GIS mapping efforts and analyze socioeconomic data, land use, environmental impacts, travel ... Data analysis tools, including MS Excel, SQL, SPSS, R, and Python * Graphic design through Adobe ...

New

Transportation Planner

Phoenix, AZ · On-site

$68K - $80K/yr

Support GIS mapping efforts and analyze socioeconomic data, land use, environmental impacts, travel ... Data analysis tools, including MS Excel, SQL, SPSS, R, and Python * Graphic design through Adobe ...

New

Transportation Planner

Phoenix, AZ · On-site

$68K - $80K/yr

Support GIS mapping efforts and analyze socioeconomic data, land use, environmental impacts, travel ... Data analysis tools, including MS Excel, SQL, SPSS, R, and Python * Graphic design through Adobe ...

New

Flexible Python Gis information

See Surprise, AZ salary details

$12

$56

$83

How much do flexible python gis jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for flexible python gis in Surprise, AZ is $56.84, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.57 per hour, depending on experience, location, and employer.

What is a flexible Python GIS professional?

A Flexible Python GIS professional is someone who specializes in using Python programming within Geographic Information Systems (GIS) and is adaptable to various tasks, projects, and work environments. They typically work with spatial data, automate geoprocessing workflows, and develop custom GIS solutions using Python libraries such as ArcPy, GeoPandas, or PyQGIS. The 'flexible' aspect often refers to their ability to handle diverse GIS software, work remotely or on different schedules, and collaborate across multiple industries that require geospatial analysis.

What are the key skills and qualifications needed to thrive as a flexible Python GIS specialist?

To thrive as a Flexible Python GIS Specialist, you need strong proficiency in Python programming, spatial data analysis, and a solid understanding of geographic information systems, often supported by a degree in geography, computer science, or a related field. Familiarity with GIS software like ArcGIS or QGIS, libraries such as GeoPandas and Shapely, and experience with spatial databases are typically required. Excellent problem-solving, adaptability, and communication skills help professionals collaborate with diverse teams and address dynamic project requirements. These competencies ensure efficient geospatial data processing, accurate analysis, and impactful solutions in rapidly evolving GIS environments.

What are some common challenges faced by professionals in flexible Python GIS roles, and how can they be addressed?

Professionals in flexible Python GIS roles often encounter challenges such as integrating diverse geospatial data formats, ensuring code scalability for large datasets, and collaborating remotely with interdisciplinary teams. To address these, it's helpful to stay updated on Python GIS libraries (like GeoPandas and Shapely), maintain clear documentation, and use version control systems for collaborative coding. Regular communication with teammates and adopting standardized workflows can also streamline project progress in flexible or remote environments.

What is the difference between Flexible Python Gis vs Python GIS Developer?

AspectFlexible Python GisPython GIS Developer
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python certificationsBachelor's in GIS, Computer Science; Python certifications often preferred
Work EnvironmentGIS firms, government agencies, environmental organizationsGIS firms, tech companies, government agencies
Industry UsageData analysis, mapping, spatial data managementMapping, spatial data analysis, application development
Common Search/ComparisonYesYes

Flexible Python Gis and Python GIS Developer roles share similar skills and work environments, focusing on spatial data and Python programming. The main difference lies in the scope; Flexible Python Gis often emphasizes adaptable GIS solutions, while Python GIS Developer roles may focus more on application development and custom GIS software. Both positions are vital in GIS projects across various industries.

What are popular job titles related to Flexible Python Gis jobs in Surprise, AZ?

For Flexible Python Gis jobs in Surprise, AZ, the most frequently searched job titles are:

What job categories do people searching Flexible Python Gis jobs in Surprise, AZ look for?

The top searched job categories for Flexible Python Gis jobs in Surprise, AZ are:

What cities near Surprise, AZ are hiring for Flexible Python Gis jobs?

Cities near Surprise, AZ with the most Flexible Python Gis job openings:

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Freeport-McMoRan rating

8.2

Company rating: 8.2 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

8th of 41 rated mining


Job description

At Freeport-McMoRan, we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career. Apply Today!     

Where You Will Work   

Our global headquarters is in Phoenix, Arizona. Several hundred employees support global operations in finance, human resources, information technology, planning and more from the main office, satellite offices or online. Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub at the Cotton Center in Phoenix. The Collaboration Hub provides an open, flexible workspace for individuals and teams to come together for various business needs. Amenities at the Hub include a working café, phone booths and meeting rooms with technology tools for virtual and in-person collaboration. 

Phoenix is the capital of the Grand Canyon State and enjoys mostly bright skies throughout the year. It is the perfect place if you enjoy the outdoors, love sports, concerts and other big city amenities or technology. There are great neighborhoods around Phoenix, with easy access to a major city, nature, the arts and many more amenities. 

What You Will Do

As the Data and AI Engineer II, you will serve as a project leader and independent contributor on a fast-growing Data Engineering team focused on analytics-driven mining. Your expertise in data and software engineering will enable the organization to build and deploy data- and AI-driven solutions to production while collaborating with mining operations, subject matter experts, data scientists, and software engineers. You will champion DataOps and agile practices to drive value across projects.

  • Lead technical work within cross-functional, geographically distributed agile teams; design, develop, review, and maintain real-time and bulk data pipelines, feature stores, and vector stores; ensure adherence to design patterns; develop data lineage and data dictionary documentation; and apply DataOps best practices.
  •  Provide thought leadership in problem solving, challenge paradigms constructively, solicit input, and participate in R&D initiatives.
  •  Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python and SQL solutions and identify optimization opportunities.
  •  Independently pursue training and research emerging technologies for departmental application. 
  • Perform other duties as requested.
What You Bring To Freeport
  • Bachelor’s degree in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience
    OR
    Master’s in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience
    OR
    Ph.D. in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience
  • Strong experience in at least three areas:
  • Knowledgeable Practitioner of SQL development with experience designing high quality, production SQL codebases
  • Knowledgeable Practitioner of Python development with experience designing high quality, production Python codebases
  • Knowledgeable Practitioner in data engineering, software engineering, and ML systems architecture
  • Hands-on experience building production data workloads in Snowflake, including warehouse and schema design, with awareness of the performance and cost implications of design choices
  • Knowledgeable Practitioner of data modeling.
  • Experience applying software development best practices in data engineering projects using GitHub and GitHub Actions, including Version Control, P.R. Based Development, Schema Change Control, CI/CD, Deployment Automation, Test Driven Development/Test Automation, Shift left on Security, Loosely Coupled Architectures, Monitoring, Proactive Notifications using Python and SQL
  • Experience delivering machine learning or generative AI solutions to production, including model or LLM integration, evaluation, and monitoring
  • Data science experience wrangling data, model selection, model training, model validation, Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale
Preferred Qualifications
  • Working knowledge of Azure Stream Architectures, dbt on Snowflake, Schema Change tools, Data Dictionary tools, Azure Machine Learning Environment, GIS Data
  • Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring
  • Working knowledge of Software Engineering and Object Orient Programming Principles
  • Working knowledge of Snowflake-native capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, and Cortex AI
  • Working knowledge of Distributed Parallel Processing Environments such as Spark
  • Working knowledge of problem solving/root cause analysis on Production workloads
  • Working knowledge of Agile, Scrum, and Kanban
  • Working knowledge of workflow orchestration using tools such as Airflow, Prefect, Dagster, or similar tooling
  • Working knowledge of GitHub and GitHub Actions for source control and CI/CD, or comparable tooling
  • Experience with containerization tools such as Docker
  • Strong verbal and written communication skills in English language

What We Offer You 

The estimated annual pay range for this role is currently $112,000-$160,000. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional incentive compensation considerations based on company and individual performance.  Additionally, this position is currently eligible for annual long-term incentive consideration.  Long-term incentives are contingent upon authorized approval under the terms and conditions of the Company's plan and award agreements.  More details will be shared during the hiring process. Click here to view a sample of Total Rewards Estimate for this role.  

  • Affordable medical, dental and vision benefits  
  • Company-paid life and disability insurance  
  • 401(k) plan with employer contribution/match  
  • Paid time off, paid sick time, holiday pay, parental leave  
  • Tuition assistance  
  • Employee Assistance Program  
  • Discounted insurance plans for pet, auto, home and vehicle  
  • Internal progression opportunities  
  • Learn more about our competitive and comprehensive benefits package!  

 What We Require   

  • Candidates may be required to pass a medical exam.  
  • Candidates must pass all required training and/or testing.  
  • Employees may be required to work a non-standard schedule, which may include shift work (other than day shift) at a 24/7, 365-day operation.  
  • Freeport-McMoRan promotes a drug/alcohol-free work environment using mandatory pre-employment drug testing and on-going drug and alcohol testing, as allowed by applicable laws.   

Equal Opportunity Employer 

 

Please be advised that Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to HRSC@fmi.com. 


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