Python Engineer
Chicago, IL · Hybrid
Python experience (NumPy, GeoPandas) * Experience creating APIs from scratch (FastAPI) * AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in house
Python Engineer
Chicago, IL · Hybrid
Python experience (NumPy, GeoPandas) * Experience creating APIs from scratch (FastAPI) * AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in house
Geopandas Python information
See Chicago, IL salary details
$13.62 - $20.46
1% of jobs
$20.46 - $27.31
0% of jobs
$27.31 - $34.15
2% of jobs
$34.15 - $40.99
5% of jobs
$40.99 - $47.84
11% of jobs
$49.85 is the 25th percentile. Wages below this are outliers.
$47.84 - $54.68
18% of jobs
The median wage is $58.25 / hr.
$54.68 - $61.53
24% of jobs
$66.76 is the 75th percentile. Wages above this are outliers.
$61.53 - $68.37
18% of jobs
$68.37 - $75.21
13% of jobs
$75.21 - $82.06
5% of jobs
$82.06 - $88.90
3% of jobs
$13
$60
$88
How much do geopandas python jobs pay per hour?
As of Jun 1, 2026, the average hourly pay for geopandas python in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Geopandas Python Developer, and why are they important?
To thrive as a Geopandas Python Developer, you need a solid foundation in Python programming, geospatial data analysis, and GIS concepts, often backed by a degree in computer science or geography. Familiarity with Geopandas, Shapely, Fiona, and other geospatial libraries, as well as experience with spatial databases and data visualization tools, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver robust geospatial solutions and collaborate with team members. These skills are critical for accurately processing spatial data, generating valuable insights, and supporting data-driven decision-making in various industries.
What are some common challenges Geopandas Python developers face when working with large geospatial datasets?
Geopandas Python developers often encounter performance limitations when processing very large geospatial datasets, as Geopandas is built on top of Pandas and can be memory-intensive. Handling operations like spatial joins, dissolves, or aggregations on millions of features may lead to slowdowns or memory errors. To address these challenges, developers frequently use techniques such as chunking data, leveraging Dask for parallel computing, or integrating with more scalable libraries like PostGIS or PyGEOS. Collaborating closely with data engineers and GIS specialists can also help optimize workflows and ensure efficient data processing.
What is GeoPandas in Python?
GeoPandas is an open-source Python library that simplifies working with geospatial data. It extends the popular Pandas library to enable spatial operations on geometric types, such as points, lines, and polygons. With GeoPandas, users can easily read, write, and manipulate geographic data formats like Shapefile, GeoJSON, and others. It integrates well with other libraries, such as Matplotlib for visualization and Shapely for advanced geometric operations, making it a powerful tool for geographic data analysis in Python.
What is the difference between Geopandas Python vs GIS Analyst?
| Aspect | Geopandas Python | GIS Analyst |
|---|---|---|
| Required Credentials | Python programming, GIS fundamentals | GIS certifications, degree in geography or related field |
| Work Environment | Data analysis, scripting, coding | Map creation, spatial data management, report generation |
| Industry Usage | Data science, software development, geospatial analysis | Urban planning, environmental management, government agencies |
Geopandas Python focuses on spatial data analysis using Python programming, ideal for data scientists and developers. GIS Analysts work with spatial data in various industries, often using GIS software and tools. While both roles involve geospatial data, Geopandas Python emphasizes coding and automation, whereas GIS Analysts focus on data management and visualization.
What are popular job titles related to Geopandas Python jobs in Chicago, IL? For Geopandas Python jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in Chicago, IL look for? The top searched job categories for Geopandas Python jobs in Chicago, IL are:
Other
Medical, Dental, Vision, Retirement
Posted 27 days ago
Job description
Python Engineer
An established healthcare company is looking for a driven Python Engineer to join their growing team! They're looking for someone with experience with Python frameworks, RESTful APIs, and data handling. Candidates should plan to come into the office in Chicago 1-2x/week. This is a W2 Contract position with long-term potential.
Location: Chicago (1-2x/week on site)
Requirements:
Python experience (NumPy, GeoPandas)
Experience creating APIs from scratch (FastAPI)
AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in house
Relational database experience (SQL Server)
- Strong communication and problem-solving skills
- Self-starting mentality to drive projects forward
Benefits and Perks:
- Medical/Dental/Vision
- 401k Matching
- WFH Flexibility
About Strategic Employment Partners
Sourced by ZipRecruiter
Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
Los Angeles, CA, US
Year founded
2006