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Python Gis Jobs in Indiana (NOW HIRING)

Imports work orders into GIS database * Assists in the maintenance and improvement of the GIS ... Proficiency in using data analysis languages such as Python, SQL, or similar languages * Strong ...

Imports work orders into GIS database * Assists in the maintenance and improvement of the GIS ... Proficiency in using data analysis languages such as Python, SQL, or similar languages * Strong ...

Imports work orders into GIS database * Assists in the maintenance and improvement of the GIS ... Proficiency in using data analysis languages such as Python, SQL, or similar languages * Strong ...

Python Gis information

See Indiana salary details

$12

$55

$82

How much do python gis jobs pay per hour?

As of May 29, 2026, the average hourly pay for python gis in Indiana is $55.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $63.37 per hour, depending on experience, location, and employer.

What is a Python GIS job?

A Python GIS job involves using Python programming to analyze, visualize, and manage geographic data within Geographic Information Systems (GIS). Professionals in this role work with libraries like GeoPandas, Shapely, and ArcPy to automate spatial data processing, create maps, and develop GIS applications. These jobs are common in industries like environmental science, urban planning, and remote sensing, where spatial analysis is critical.

What are the key skills and qualifications needed to thrive in the Python Gis position, and why are they important?

To thrive as a Python GIS professional, you need strong programming skills in Python combined with expertise in geospatial concepts and data analysis, typically 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 possibly certifications like GISP or Esri technical certifications are highly beneficial. Problem-solving skills, attention to detail, and the ability to communicate technical information clearly are important soft skills. These qualities are crucial for efficiently processing spatial data, building innovative geospatial solutions, and collaborating effectively within multidisciplinary teams.

What are the typical day-to-day tasks for a Python GIS professional?

As a Python GIS professional, your typical day involves processing and analyzing spatial data, automating GIS workflows using Python scripts, and developing custom geospatial tools and applications. You may work closely with data analysts, environmental scientists, or urban planners to provide actionable insights from geospatial datasets. Many roles involve regular use of GIS software and Python libraries to extract, clean, and visualize data for maps and reports. Collaboration and communication are key, as you’ll often translate technical findings into user-friendly outputs for clients or non-technical team members.
What are the most commonly searched types of Python Gis jobs in Indiana? The most popular types of Python Gis jobs in Indiana are:
What are popular job titles related to Python Gis jobs in Indiana? For Python Gis jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Python Gis jobs in Indiana look for? The top searched job categories for Python Gis jobs in Indiana are:

Full-time

Posted 6 days ago


Job description

GIS Intern – Utility Locating Services

Job Summary

The GIS Intern will support the development and maintenance of digital utility mapping systems used by field technicians. This role will focus on importing, converting, and organizing geospatial data from customer-provided maps and engineering records (As-Builts) into standardized formats within ArcGIS Online (AGOL), ArcGIS Pro, and QGIS.

The ideal candidate will play a key role in ensuring field teams have accurate, up-to-date mapping data by transforming various file types into usable, high-quality GIS datasets.


Key Responsibilities

Data Conversion & Integration:
Import, convert, and standardize geospatial data from multiple formats including CAD, SHP, KMZ/KML, CSV, and PDF plans into GIS platforms (AGOL, ArcGIS Pro, QGIS).

Mapping & Data Entry:
Digitize and input utility data from customer-provided maps, prints, and as-built drawings into GIS systems with a high level of accuracy.

AGOL & GIS Database Maintenance:
Maintain and organize ArcGIS Online data, including hosted feature layers, folders, and group structures to ensure accessibility for regional field teams.

Projection & Coordinate Management:
Apply and manage coordinate systems and projections to ensure alignment between imported datasets and existing mapping systems.

Layer & Feature Editing:
Perform edits to GIS layers, including attribute updates, feature creation, dataset merging, and symbology adjustments for clarity in field applications.

Quality Control & Data Validation:
Review and verify imported data for accuracy, completeness, and consistency to support safe and effective utility locating operations.

Support Field Operations:
Collaborate with field technicians and internal teams to ensure mapping data meets operational needs and reflects real-world conditions.


Required Skills & Qualifications

  • Currently pursuing a degree in GIS, Geography, Civil Engineering, or a related field

  • Familiarity with ArcGIS Pro and ArcGIS Online

  • Basic understanding of GIS data formats (Shapefiles, File Geodatabases, KML/KMZ, CSV)

  • Ability to interpret maps, plans, and engineering drawings

  • Strong attention to detail and data accuracy

  • Good communication skills, especially when working with non-GIS personnel


Preferred Qualifications

  • Experience with QGIS

  • Familiarity with CAD files (AutoCAD or similar)

  • Exposure to coordinate systems and projections (State Plane, WGS84, etc.)

  • Basic knowledge of utility locating or the 811 process

  • Introductory scripting experience (Python, ArcPy, or SQL)


Physical & Work Environment

  • Primarily office-based with a focus on GIS data processing and mapping

  • Occasional field exposure may occur to better understand data collection processes

  • Standard office and computer-based work environment