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Entry Level Gis Python Jobs in St Petersburg, FL

Entry Level Gis Python information

See St Petersburg, FL salary details

$12

$55

$81

How much do entry level gis python jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for entry level gis python in St. Petersburg, FL is $55.43, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $62.98 per hour, depending on experience, location, and employer.

What is an entry level GIS Python?

Entry level GIS Python jobs are positions designed for individuals who are new to the field of Geographic Information Systems (GIS) and have foundational skills in the Python programming language. These roles typically involve tasks such as automating GIS workflows, data analysis, map creation, and spatial data management using Python libraries like ArcPy, GeoPandas, or QGIS Python plugins. Entry level positions often require a basic understanding of GIS concepts and some experience with Python, but they provide on-the-job training and opportunities to grow technical skills while working under the supervision of more experienced professionals.

What are the key skills and qualifications needed to thrive as an entry level GIS Python professional?

To thrive as an Entry Level GIS Python professional, you need a solid understanding of geographic information systems (GIS), spatial data analysis, and proficiency in Python programming, often supported by a relevant degree or coursework. Familiarity with tools like ArcGIS, QGIS, and libraries such as GeoPandas or ArcPy is typically required. Strong problem-solving, attention to detail, and the ability to communicate technical information clearly are valuable soft skills. These skills are crucial for efficiently analyzing spatial data, automating workflows, and supporting decision-making in organizations reliant on geospatial information.

What are some common challenges faced by entry level GIS Python professionals when working on real-world projects?

Entry-level GIS Python professionals often encounter challenges such as working with diverse and sometimes incomplete geospatial data, adapting to different GIS software environments, and writing efficient Python scripts for geoprocessing tasks. Collaborating with more experienced GIS analysts and developers is typical, as is learning to communicate technical findings to non-technical stakeholders. Over time, exposure to real-world datasets and teamwork helps build both technical proficiency and project management skills.

What are popular job titles related to Entry Level Gis Python jobs in St. Petersburg, FL?

For Entry Level Gis Python jobs in St. Petersburg, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Gis Python jobs in St. Petersburg, FL look for?

The top searched job categories for Entry Level Gis Python jobs in St. Petersburg, FL are:

What cities near St. Petersburg, FL are hiring for Entry Level Gis Python jobs?

Cities near St. Petersburg, FL with the most Entry Level Gis Python job openings:

Infographic showing various Entry Level Gis Python job openings in St. Petersburg, FL as of June 2026, with employment types broken down into 2% Locum Tenens, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $115,298 per year, or $55.4 per hour.

People and Freight Transportation Analyst - Entry Level

Whitman, Requardt & Associates, LLP

Tampa, FL • On-site

Other

Medical, Life, Retirement

Posted 2 days ago

New


Job description

At Whitman, Requardt & Associates, LLP, we are People Focused and Project Driven . We have been in business for more than 110 years and we are known for our quality work and quality employees. This is your chance to join our team - help us to design the infrastructure and buildings that improve the world! WRA is seeking talented transportation professionals with expertise in transportation planning, travel demand modeling, freight planning, emerging technologies, and advanced analytics. Our team collaborates across disciplines to deliver innovative, data-driven transportation solutions for a wide variety of planning and engineering projects. Responsibilities: Job functions: Support transportation systems management and operations, advanced technology, traffic operations, transportation planning, and freight mobility projects through the use of a combination of tools: travel demand modeling traffic operations modeling systems engineering stakeholder outreach and engagement advanced data analytics Conduct freight transportation planning studies to support multimodal transportation, freight mobility, supply chain, and logistics planning initiatives. Analyze multimodal mobility using large and emerging transportation datasets to identify trends, bottlenecks, and opportunities for improving system performance Develop traffic forecasts, origin-destination analyses, commodity flow assessments, truck parking evaluations, and transportation network performance measures. Support freight modeling and analytics, including logistics optimization, network analysis, and scenario evaluation. Assist in developing technical reports, public-facing transportation plans, data visualizations, GIS products, and presentations for clients and stakeholders. Coordinate with multidisciplinary teams to deliver freight planning, transportation planning, travel demand modeling, traffic operations, and mobility projects. Project assignments Project assignments may include statewide, regional, corridor, port, airport, rail, intermodal, and last-mile freight modeling and planning studies. Responsibilities may include processing and integrating large multimodal datasets, developing decision-support tools, conducting statistical analyses, and supporting freight, transportation modeling, and ITS planning initiatives. Analysis may include all modes of travel for people and goods (street, highway, air, rail, seaport, and emerging modes such as drone delivery) for urban, suburban, and rural environments. Analysis may also include processing big and emerging transportation data sources such as connected vehicle or probe data. Requirements: Master's degree in Civil Engineering, Transportation Engineering, Industrial Engineering, Freight Transportation, Data Science, Planning, or a related field. (from an ABET accredited program, if applicable) 0 – 4 years of relevant experience Strong analytical and quantitative problem-solving skills. Familiarity with programming or scripting languages such as Python or R for data processing and analytics. Coursework or experience planning for and evaluating multimodal transportation systems for people and freight including street, highway, rail, port, airport, pipeline, and intermodal freight operations. Coursework or experience regarding the application of transportation planning, traffic engineering, and travel demand modeling principles. Ability to effectively communicate technical information, both verbally and in writing. Ability to work independently and collaboratively within multidisciplinary teams. Ability to manage multiple assignments and meet project deadlines. Preferred Requirements: General understanding of freight transportation planning, logistics, and supply chain principles. Practical experience with VISUM & VISSIM General understanding of travel demand modeling and transportation forecasting principles. Familiarity with multimodal transportation data sources such as RITIS, INRIX, StreetLight, HERE, FAF, TRANSEARCH, ATRI, Geotab, BTS Freight Analysis Framework, port and rail datasets, and Census Freight-related data. Experience processing, integrating, and analyzing large transportation datasets using statistical and data analytics techniques. Knowledge of statistical analysis and data visualization methods. Familiarity with freight demand forecasting, origin-destination analysis, commodity flow analysis, and freight performance measurement. Understanding of network optimization concepts related to freight transportation, logistics, routing, distribution, and supply chain analysis. Working knowledge of GIS software (ArcGIS Pro/QGIS) and spatial analysis. Familiarity with SQL and database management is desirable. Open to learning and applying emerging technologies, artificial intelligence, machine learning, and advanced analytics to freight planning and transportation decision-making. Benefits: WRA recognizes that employees play an important role in its success. Our commitment to full-time employees is reflected in the comprehensive benefits package we offer: Flexible work schedule options Competitive salary Leave accrual and paid holidays Healthcare benefits Group Life Insurance, as well as additional optional life Insurance, short and long term disability insurance Flexible spending accounts for medical and dependent care reimbursement 401(k) Retirement Plan Tuition Reimbursement Employee Assistance Program Parental and maternity leave benefits WRA is an equal opportunity/affirmative action employer and complies with all applicable anti-discrimination laws. The expected compensation range for this position is $60,000.00 - $110,000.00. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. Applicants must be currently authorized to work in the United States on a full-time basis without the need for employment-based visa sponsorship now or in the future. WRA will not sponsor applicants for U.S. work visa status for this opportunity. (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) ***** Not accepting resumes from 3rd party recruiters for this position ***** Position #: 3358