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Geopandas Python Jobs (NOW HIRING)

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$119K - $188K/yr

Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling) * Strong SQL and cloud data warehouse experience (BigQuery preferred) * Python ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling) * Strong SQL and cloud data warehouse experience (BigQuery preferred) * Python ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling) * Strong SQL and cloud data warehouse experience (BigQuery preferred) * Python ...

City of Lawrence Kansas

GIS ANALYST

Lawrence, KS · On-site

$28.40 - $31.33/hr

Prefer experience with ArcGIS, ArcPy, pandas/GeoPandas, SQL spatial queries, GISP designation, AutoCad, Python programming, computer drafting, and engineering principles. Experience in asset ...

cityoflawrence

GIS ANALYST

Lawrence, KS

Prefer experience with ArcGIS, ArcPy, pandas/GeoPandas, SQL spatial queries, GISP designation, AutoCad, Python programming, computer drafting, and engineering principles. Experience in asset ...

cityoflawrence

GIS ANALYST

Lawrence, KS

Prefer experience with ArcGIS, ArcPy, pandas/GeoPandas, SQL spatial queries, GISP designation, AutoCad, Python programming, computer drafting, and engineering principles. Experience in asset ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... capabilities, using Python to process and analyze large datasets while managing geospatial ... GeoPandas, Shapely, Fiona, Rasterio, GDAL, QGIS, or similar geospatial tools and libraries. • ...

Whitespace

Software Engineer

Alexandria, VA · Remote

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

GeoDelphi

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

Stantec

Transportation Analyst (Modeling)

Denver, CO · On-site

$85K - $119K/yr

Automate data processing and analysis workflows using Python, SQL, and Excel. * Collaborate with ... Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas. * Understanding of travel demand ...

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Geopandas Python information

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How much do geopandas python jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for geopandas 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.

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 are GeoPandas used for in Python?

GeoPandas is a Python library used by geospatial data analysts and GIS professionals to simplify working with geographic data. It extends the pandas library to include spatial operations, enabling users to read, write, analyze, and visualize geospatial data such as shapefiles and GeoJSON files efficiently.

What is the difference between Geopandas Python vs GIS Analyst?

AspectGeopandas PythonGIS Analyst
Required CredentialsPython programming, GIS fundamentalsGIS certifications, degree in geography or related field
Work EnvironmentData analysis, scripting, codingMap creation, spatial data management, report generation
Industry UsageData science, software development, geospatial analysisUrban 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 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.

Which Python job is in demand?

Python development roles, such as data analyst, data scientist, backend developer, and automation engineer, are currently in high demand across various industries. Skills in libraries like Pandas, NumPy, and frameworks such as Django or Flask increase employability, and certifications can enhance job prospects in this competitive field.

How to work with GeoPandas?

Working with GeoPandas involves importing the library in Python, loading spatial data using functions like read_file(), and performing geospatial operations such as plotting, spatial joins, and data manipulation. Familiarity with pandas and shapely enhances the ability to analyze and visualize geographic data effectively.
More about Geopandas Python jobs
What cities are hiring for Geopandas Python jobs? Cities with the most Geopandas Python job openings:
What states have the most Geopandas Python jobs? States with the most job openings for Geopandas Python jobs include:
What job categories do people searching Geopandas Python jobs look for? The top searched job categories for Geopandas Python jobs are:
Geopandas Python jobs near you
Infographic showing various Geopandas Python job openings in the United States as of July 2026, with employment types broken down into 17% Internship, 1% Full Time, 76% Part Time, and 6% Temporary. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Viasat, Inc.

Carlsbad, CA • On-site

$119K - $188K/yr

Full-time

Re-posted 21 days ago

Viasat rating

4.2

Company rating: 4.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

79th of 82 rated telecommunications companies

Job description

About us
One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging Direct-to-Device (D2D) markets. You'll translate executive-level business questions into scalable data pipelines and geospatial models, driving iterative cycles of data interpretation and assumption refinement. You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as importantly, help senior leadership understand what the data is (and isn't) telling them.
Reporting to the Director, Commercial Business Analytics, you'll operate at the intersection of business strategy and data engineering-close enough to executive stakeholders to shape the why behind the models, and close enough to engineering to ensure your work can be productionized and scaled. Your forecasting outputs feed directly into capacity feasibility analyses run by engineering teams, making the handoff relationship critical.
The day-to-day
  • Partner directly with business unit executives and C-level stakeholders to translate strategic forecasting needs into data models, proactively surfacing insights and challenging assumptions
  • Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools (Dagster, dbt, BigQuery)
  • Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies
  • Drive forecasting model expansion to new business units and services through configurable, testable code-often where no existing baseline exists
  • Independently validate model outputs, refine assumptions, and recommend adjustments to input parameters based on observed patterns and business feedback
  • Interpret and present forecasting outputs in business context to senior leadership-identifying where model results challenge assumptions, surfacing data quality risks, and advising on methodology changes
  • Evaluate and integrate 3rd-party industry data to assess total global vertical demand and model geographic distribution
  • Build data structures with engineering handoff in mind-balancing analytical flexibility with the conventions and standards that enable smooth transition to production systems
  • Document methodologies, assumptions, and maintain clear data lineage across all forecasting workstreams
  • Deliver regional and scenario-based demand projections that directly inform capacity planning decisions
  • Collaborate with engineering teams who consume forecasting outputs, ensuring data formats, assumptions, and methodologies are well-documented and aligned with downstream systems
  • Continuously evaluate existing forecasting processes and recommend improvements to enhance accuracy, scalability, and stakeholder confidence

What you'll need
  • Bachelor's degree in a quantitative field
  • 5-8 years of experience in analytics engineering, data engineering, or quantitative analysis
  • Demonstrated experience managing executive and cross-functional stakeholder relationships-translating complex analytical outputs into actionable business guidance
  • Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling)
  • Strong SQL and cloud data warehouse experience (BigQuery preferred)
  • Python proficiency with data engineering and analytical libraries (pandas, scipy, etc.)
  • Proven ability to structure ambiguous business problems into well-defined analytical frameworks
  • Experience building maintainable, scalable data pipelines with clear documentation and lineage
  • Strong written and verbal communication skills, including experience presenting to senior leadership
  • Comfort owning outcomes in fast-paced, evolving environments with minimal supervision

What will help you on the job
  • Master's degree or equivalent experience in a quantitative field
  • Experience transitioning analytical models into production infrastructure alongside engineering teams
  • Satellite or telecom industry experience
  • Hands-on experience with Dagster, Airflow, or dbt
  • Demand forecasting or capacity planning experience
  • Familiarity with spatial statistics, coverage modeling, or network planning tools

Salary range
$119,000.00 - $188,500.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $148,500.00- $222,500.00/ annually
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

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About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986

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