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Geopandas Python Jobs in Brooklyn, MD (NOW HIRING)

vetegrity

Data Scientist 3

Annapolis Junction, MD · On-site

... in Python for data analysis, automation, and workflow development - Experience with data ... Shapely, GeoPandas, Kibana, Elastic, SQL, Jupyter) - Experience with ETL workflows, batch ...

All JobsGeopandas Python JobsGeopandas Python Jobs in Brooklyn, MD

Geopandas Python information

See Brooklyn, MD salary details

$12

$54

$80

How much do geopandas python jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for geopandas python in Brooklyn, MD is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $62.21 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.
What cities near Brooklyn, MD are hiring for Geopandas Python jobs? Cities near Brooklyn, MD with the most Geopandas Python job openings:
Geopandas Python jobs near you

ME00575-Data Scientist 4

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$165K - $215K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 10 hours ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist to support mission-focused data analysis and processing by developing data-driven solutions that enable optimization, automation, and enhanced collection workflows
  • This role requires strong technical proficiency in data manipulation, API integration, and Python-based analytics, with the opportunity to apply or develop AI/ML techniques within operational environments
  • Candidates with strong data science fundamentals will be supported with training in mission-specific AI/ML applications as needed

Primary Responsibilities
  • Develop and implement data-driven solutions to support optimization, automation, and collection processing
  • Interact with and integrate APIs to retrieve, process, and analyze data from multiple sources
  • Build and maintain tools and scripts for data ingestion, transformation, and analysis
  • Perform data manipulation and aggregation using Python (Pandas DataFrames)
  • Analyze large datasets to identify patterns, trends, and actionable insights
  • Develop and support data pipelines and workflows to enable efficient data processing
  • Collaborate with cross-functional teams to support mission requirements and evolving priorities
  • Document data processes, methodologies, and analytic findings

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's Degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Strong proficiency in Python, including experience with Pandas for data manipulation and aggregation
  • Experience working with APIs (reading, using, and building integrations for data retrieval)
  • Experience working with large datasets and performing data analysis
  • Strong problem-solving and analytical skills
  • Ability to work effectively in a team-oriented, mission-driven environment

Desired Qualifications
  • Experience applying AI/ML techniques for optimization, automation, or data processing (training can be provided for strong candidates)
  • Experience with data visualization tools, such as Plotly, Shapely, or GeoPandas
  • Familiarity with XKEYSCORE (XKS) / Data Exchange (DX) and understanding of data flow concepts
  • Experience with Splunk, SQL, Elasticsearch, Kibana, or networking fundamentals

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
165,000 - 215,000 USD per year (Ft. Meade MD)

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