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Geopandas Python Jobs in Missouri (NOW HIRING)

GRVTY

Data Scientist, Mid

Arnold, MO

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Expert

Arnold, MO

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Mid

Arnold, MO

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Expert

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Mid

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Expert

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

All JobsGeopandas Python JobsGeopandas Python Jobs in Missouri

Geopandas Python information

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?

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?

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 are popular job titles related to Geopandas Python jobs in Missouri? For Geopandas Python jobs in Missouri, the most frequently searched job titles are:
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What cities in Missouri are hiring for Geopandas Python jobs? Cities in Missouri with the most Geopandas Python job openings:
Geopandas Python jobs near you

Data Scientist, Mid

GRVTY

Arnold, MO

Other

Posted 14 days ago

Job description

What Impact You'll Have

The primary role for this task is to serve as a technical team member supporting custom data management and advanced system operations, focusing on process improvement, maintenance, and alignment of GEOINT dissemination systems to emerging NGA standards. This position performs services requiring specialized expertise in geospatial data analysis, automation, data management and system administration. Supports a variety of data issues to include ontology, schema, format and file types of current or future data holdings.

What You'll be Owning

  • Develop and implement automation strategies to streamline seamless data handling, data integrity, and distribution processes to enhance efficiency and accuracy.
  • Develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance GEOINT processes, and systems.
  • Design and deploy custom automation tools to facilitate streamlined workflows, rapid and secure data transfer, minimizing manual intervention and reducing turnaround times.
  • Apply AI/ML techniques to enhance geospatial analysis capabilities and improve accuracy in data extraction from various sources.
  • Develop API-based integration solutions to improve data exchange between NGA and partner systems.
  • Maintain Legacy Python codebase, integrate codebase new security requirements and future Source dissemination solutions.
  • Collaborate with GEOINT content teams to integrate automated quality checks, ensuring the highest standards of data integrity and reliability.

What You Must Have

  • US Citizen with a TS/SCI Clearance and ability to obtain a CI Polygraph
  • 5 years of combined experience in the field with a college coursework in a relevant field of study.
  • Mid-level proficiency in Python and other object-oriented programming languages.
  • Demonstrated experience with relevant Python libraries including Pandas and Geopandas.
  • Advanced experience using Python to automate complex workflows and integrate with cloud services.
  • Proven experience with relational databases and web development tools, including API integration.
  • Extensive experience in database administration and cloud-based data management.
  • Deep knowledge of GEOINT products, data formats, and satellite imagery systems.
  • Excellent communication skills with demonstrated ability to collaborate across organizations.
  • Extensive experience developing and implementing process improvements.
  • Experience using AI/ML for feature extraction, data enrichment, and predictive analytics

What Would be Nice to Have

  • Bachelor's degree in a relevant field of study
  • Certifications in Python and other programming languages
  • Experience implementing machine learning solutions
  • Advanced experience with geospatial analysis and data manipulation
  • Deep understanding of NGA systems including Custom Media Services, NSG Consolidated Library, and Gateway
  • In depth understanding of Enterprise File Delivery (EFD)
  • Practical experience with UNIX/Linux operating systems, particularly RedHat Linux
  • Understanding of NGA's mission partners and Intelligence Community requirements

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