Geospatial Data Engineer

Aperio Global, Llc
McLean, VA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$160,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

Geographic Information Systems Agile Methodology Amazon S3 Data Analysis ArcGIS (Software) JIRA Cloud Computing Information Engineering DevOps Elasticsearch Python (Programming Language) PostgreSQL
+12 more
Machine Learning Metadata PostGIS Quantum GIS (QGIS) Spatial Data Infrastructures Tableau (Software) Visual Analytics Git Containerization Information Technology Geospatial Data Abstraction Library (GDAL) Kibana

Job description

Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements. Develop Python automation for geospatial data processing, transformation, validation, and publication. Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services. Design Tableau dashboards and visual analytics that communicate complex geospatial information. Integrate spatial and tabular datasets into scalable analytical solutions. Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes. Create technical documentation and collaborate across multidisciplinary engineering and mission teams.

Requirements

Active TS/SCI with Polygraph Bachelor’s degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field. Senior-level experience supporting geospatial engineering, GIS development, or data engineering. Strong Python development experience for automation and geospatial data processing. Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management. Experience with Tableau or similar business intelligence platforms. Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS. Strong analytical, communication, and problem-solving skills. Preferred Skills

Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.

Benefits & conditions

We offer competitive pay, comprehensive benefits, retirement savings with company match, generous paid time off, and professional development. We invest in our people because great missions require great teams., At Aperio Global, we understand the value of investing in our most important asset-our employees. That’s why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with 100% employer match up to 6%
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Professional Development
  • (and much more)

About the company

At Aperio Global, we bring together experts in cybersecurity, AI, data analytics, and cloud technologies to solve complex national security challenges. We focus on work where our expertise creates the greatest impact., At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We’re seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.

You’ll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission-critical decision making.

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Integrating user stories and test automation via Jira tools

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