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Geopandas Python Jobs in Washington (NOW HIRING)

Scientific Programmer

College Park, MD · On-site

$85K - $115K/yr

CPCI v7.0 Python Upgrade / Code Migration * Lead and/or support the migration of CPC International ... Basic knowledge of GIS tools (e.g., QGIS, ArcGIS, GeoPandas, raster/terra) * Familiarity with ...

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

Familiarity with Python Polars, GeoPandas , and automated document generation packages * Relevant certifications, such as: * Microsoft Certified: Azure Solutions Architect Expert * Databricks ...

Senior GenAI Engineer

Rosslyn, VA · On-site

$119.10K - $163.50K/yr

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

Senior GenAI Engineer

Arlington, VA · On-site

$120.20K - $165.10K/yr

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

... Python and modern ML/CV libraries such as PyTorch or TensorFlow. • Experience researching ... as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. • Experience with modern ML ...

Applied Computer Vision Engineer (TS/SCI)

Herndon, VA · On-site

$114.70K - $135.20K/yr

Competence with Python's geospatial libraries, such as gdal, geopandas, shapely, etc. * Competence with containerization platforms (Docker, Kubernetes, OpenShift, Cloud Foundry, etc.) * Competence ...

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

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Showing results 1-20

Geopandas Python information

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?

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 job categories do people searching Geopandas Python jobs in Washington look for? The top searched job categories for Geopandas Python jobs in Washington are:

Scientific Programmer

Entarian

College Park, MD • On-site

$85K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Entarian is seeking a full-time Scientific Programmer to support the CPC International Desks in College Park, MD, with system upgrades, code migration, training, operational workflow support, and implementation of model and forecasting enhancements.

The National Oceanic and Atmospheric Administration’s (NOAA) Climate Prediction Center (CPC) mission is to deliver real-time products and information that predict and describe climate variations on timescales from weeks to years, thereby promoting effective management of climate risk and a climate-resilient society. ERT provides scientific support services to CPC by operationally acquiring, processing, and disseminating climate data, information, and analyses, and by conducting research and development to improve prediction techniques and understanding of climate variability and extremes.

Duties of the Scientific Programmer include, but are not limited to:

CPCI v7.0 Python Upgrade / Code Migration

  • Lead and/or support the migration of CPC International Desk workflows from legacy GEMPAK-based development to Python-based development (CPCI v7.0)
  • Lead and/or support regionalized NCEP GFS and GEFS postprocessing and transitioning to operations in support of the WMO Severe Weather Forecast Project (SWFP)
  • Refactor, validate, and document code to ensure operational readiness, maintainability, and reproducibility.
  • Coordinate testing and delivery milestones supporting planned code delivery

NMME Version 3 Upgrade Support

  • Support implementation and transition activities for NMME v3 for the International Desk, including updates needed for ingest, post-processing, and product generation
  • Assist with operational readiness activities

Operational Workflow Support and Reliability

  • Maintain and improve operational workflows supporting International Desk production, including job scheduling, monitoring, troubleshooting, and continuity support across platforms
  • Provide hands-on support for operational cron jobs and related automation on the CPC compute farm and WCOSS platform

Training and Knowledge Transfer

  • Provide training support for International Desk visitors and staff on:
    • International Desk website tools and publishing workflows
    • Post-processing of model data and generation of operational products
    • Practical operational procedures (cron jobs, platform usage, troubleshooting patterns)
  • Develop and maintain training materials and quick-reference guides to support repeatable onboarding and knowledge transfer

Data Support for Forecasting Studies

  • Provide data handling and support for climate forecasting studies, including accessing, transforming, and organizing model and observational datasets used by the International Desk
  • Support evaluation/verification workflows where needed to improve product utility and performance

Contingent and Emerging Requirements

  • Carry out other contingent tasks to support mission needs, operational continuity, and evolving CPC priorities

This position supports work at NOAA's College Park, MD facility with a minimum of days/week on site required. 

The salary range for this role is $85,000 - 115,000/year.


  • Master’s degree in Atmospheric Science, Meteorology, Hydrology/Hydroclimate, Computer Science, or a related discipline (or equivalent relevant experience). PhD preferred.
  • Experience with cloud computing platforms such as Amazon Web Services (e.g., S3, EC2, Lambda)
  • Strong programming skills in Shell (Bash) utilities, Python and/or R for data analysis and modeling
  • Experience with data manipulation, statistical analysis, and machine learning
  • Ability to work with large and complex datasets, including climate and weather observation data (e.g., NetCDF, raster data)
  • Understanding of data engineering concepts (data pipelines, processes, APIs)
  • Knowledge of containerization and reproducible workflows (e.g., Docker, Git)
  • Experience with AI/deep learning (PyTorch, TensorFlow)
  • Ability to develop, validate and deploy models for forecasting or risk analysis
  • Understanding of climate science and impact-based forecasting
  • Strong analytical thinking, problem-solving, and interdisciplinary collaboration skills
  • Ability to translate complex analytical results into actionable insights for policy and decision-making
  • Basic knowledge of GIS tools (e.g., QGIS, ArcGIS, GeoPandas, raster/terra)
  • Familiarity with spatial and spatiotemporal modeling techniques
  • Must be a US Citizen or Permanent Resident and able to pass a background investigation to obtain a security badge to access applicable government information and systems.

Compensation
We consider several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate’s work experience, education/training, and key skills.

Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes:

  • Medical, Rx, Dental, and Vision Insurance
  • 401(k) retirement plan with company-matching
  • 11 Paid Federal Government Holidays
  • Paid Time Off (PTO)
  • Basic Life & Supplemental Life
  • Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Employee assistance program (EAP)
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Professional Membership Reimbursement
  • Employee Referral Program
  • Competitive compensation plan
  • Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company’s performance

Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.

Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal  Connect, Referrals & Inquiries? Email the team: careers@entarian.com

Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.