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Entry Level Gis Python Jobs (NOW HIRING)

Chenega Corporation

Jr Systems Engineer

Vienna, VA · On-site

Work closely with customers and partners to identify, design, and certify key GIS workflows for the ... From entry-level employees to senior leaders, we believe there's always room to learn. We offer ...

Chenega MIOS

Jr Systems Engineer

Vienna, VA · On-site

Work closely with customers and partners to identify, design, and certify key GIS workflows for the ... Working knowledge of at least one scripting or programming language (such as Python, PowerShell ...

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Entry Level Gis Python information

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

As of Jul 12, 2026, the average hourly pay for entry level gis python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

Is Python useful for GIS?

Entry Level GIS Python roles require Python as a core skill because it is widely used for automating spatial data analysis, creating scripts, and developing GIS tools. Knowledge of libraries like ArcPy, GeoPandas, and PyProj enhances efficiency in managing geographic data and workflows.

What are entry level GIS Python jobs?

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, and why are they important?

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.

Will GIS be overtaken by AI?

GIS professionals, including entry-level GIS Python roles, use AI and automation tools to enhance spatial analysis and data processing. While AI can automate certain tasks, GIS requires domain expertise, interpretation, and decision-making that AI cannot fully replace, making human skills essential in the field.

How do I get a job in Python with no experience?

To get an entry-level GIS Python job with no experience, focus on building foundational skills in Python programming, GIS concepts, and relevant tools like ArcGIS or QGIS. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of securing an entry-level position.

What entry level jobs can you get with Python?

Entry level jobs with Python include roles such as Python developer, data analyst, or GIS technician, often requiring knowledge of scripting, data processing, and basic programming. These positions typically involve tasks like automation, data visualization, and working with GIS or database tools, and may require familiarity with libraries like Pandas or ArcPy.
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What cities are hiring for Entry Level Gis Python jobs? Cities with the most Entry Level Gis Python job openings:
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What job categories do people searching Entry Level Gis Python jobs look for? The top searched job categories for Entry Level Gis Python jobs are:
Entry Level Gis Python jobs near you
Infographic showing various Entry Level Gis Python job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Utility Data and Modeling Analyst

Utility Data and Modeling Analyst

HDR

Saint Louis Park, MN • On-site

Full-time

Posted 18 days ago

HDR rating

9.1

Company rating: 9.1 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

25th of 368 rated engineering

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story'
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience. We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.
About the Role
HDR is seeking an entry-level Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing data-driven utility planning.
Key Responsibilities:
Hydraulic Modeling & System Analysis
  • Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, as-built drawings, and field data.
  • Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
  • Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro.

Data Engineering, Analytics & Visualization
  • Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
  • Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
  • Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
  • Handle highly sensitive and confidential information with professionalism and discretion
  • Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
  • Develop data products including reports, visualizations, and dashboards
  • Adhere to software and data science development standards
  • Perform data acquisition, sourcing, cleaning and exploratory data analysis (EDA)
  • Transform raw data into usable attributes for machine learning modules through feature engineering
  • Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference.
  • Create automated data pipelines and data engineering solutions
  • Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
  • Tune models with training, hyperparameters with comprehensive validation and testing processes

Asset Management & Capital Planning
  • Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.
  • Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
  • Integrate asset, condition, and geospatial data to support long-term strategic planning for utility infrastructure.

Utility Planning, Policy Analysis & Technical Reporting
  • Support development of technical reports, planning documents, regulatory analyses, and client presentations.
  • Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
  • Leverage predictive models to optimize business results
  • Contribute to studies involving financial planning, rate evaluation, and long-range system needs assessment.

Professional Collaboration
  • Actively participate in HDR's employee-owned, collaborative culture by working closely with multidisciplinary teams including engineers, planners, analysts, and project managers.
  • Communicate findings through written reports, visualizations, engineering graphics, and presentations.
  • Maintain high standards of quality control, documentation, and analytical accuracy.

Preferred Qualifications
  • Bachelor's Degree
  • A minimum of 3 years experience in a data science role
  • Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
  • Familiarity with or academic exposure to hydraulic modeling concepts or tools.
  • Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
  • Oracle Spatial or SQL Server Spatial back-end data processing experience
  • Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
  • Interest in environmental regulations and policy frameworks related to water and wastewater utilities.

#LI-EV1
Qualifications
Required Qualifications
  • A degree in a closely related field or combination of education and relevant experience
  • Self-motivated, detail-oriented professional, ability to multitask a must
  • Proficiency with MS Office including Word and Outlook
  • Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
  • Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
  • Proficiency with data science languages such as Python and R
  • Ability to handle confidential information
  • Excellent writing and people skills
  • Strong math and organizational skills
  • Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
  • Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917

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