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Senior Geospatial Data Engineer Jobs in Maryland

TeamWorx Security LLC

Senior Data Engineer

Columbia, MD · On-site

$135K - $165K/yr

The Senior Data Engineer will work with technical teams, program leadership, and government stakeholders to integrate complex data sources, improve data quality, and deliver secure, scalable data ...

TeamWorx Security, LLC.

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

The Senior Data Engineer will work with technical teams, program leadership, and government stakeholders to integrate complex data sources, improve data quality, and deliver secure, scalable data ...

Standvast Fulfillment

Senior Data Engineer

Columbia, MD · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to build high-quality solutions, mentor junior engineers, and maintain operational excellence while collaborating with product managers and business teams.

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Senior Geospatial Data Engineer information

What is a senior geospatial data engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.

What are the key skills and qualifications needed to thrive as a senior geospatial data engineer?

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What are some typical challenges a senior geospatial data engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

What are the most commonly searched types of Geospatial Data Engineer jobs in Maryland?

The most popular types of Geospatial Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Senior Geospatial Data Engineer jobs?

Cities in Maryland with the most Senior Geospatial Data Engineer job openings:

Senior Geospatial Data Engineer jobs near you

Software Engineer

Reinventing Geospatial (RGi)

Gaithersburg, MD • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. As a Software Engineer, you will lead full-stack software development of enterprise applications supporting GEOINT missions, design secure microservices, and mentor junior engineers while ensuring compliance with cybersecurity standards.
Responsibilities:
• Lead full-stack software development of enterprise applications and services supporting our customer’s GEOINT mission.
• Design and implement secure, scalable microservices in cloud environments such as AWS GovCloud or C2S.
• Guide and mentor junior and mid-level engineers, enforce code quality, and lead peer reviews.
• Build and deploy applications using DevSecOps pipelines, container orchestration, and Infrastructure-as-Code tools.
• Collaborate with cross-functional teams including analysts, UI/UX designers, DevOps engineers, and product owners.
• Translate mission requirements into technical implementations that meet security, performance, and scalability needs.
• Ensure compliance with our customer and IC cybersecurity and accreditation standards (e.g., RMF, STIGs).
Qualifications:
Required:
• Bachelor's degree in Computer Science, Software Engineering, or related field and 6+ years experience.
• Strong proficiency with: HTML, CSS, JSON, Ajax, and REST APIs
• Object-oriented Programming: Python, Java, or JavaScript and Go
• Front-end and Back-end Frameworks: React, Angular, Vue.js, jQuery, Spring Boot, Django, Node.js, Flask, or Svelte.
• A strong working knowledge of: AWS, Azure, or similar cloud platforms, MySQL, PostgreSQL, or SQL Server
• Hands on experience with: Windows, Linux, Git
• Deep understanding of modern software design patterns and coding standards.
• Experience architecting, developing, and delivering complex software systems into production.
• Hands on experience developing containerized applications with Docker and Kubernetes.
• Experience deploying to and developing in classified cloud environments (e.g., C2S, AWS GovCloud).
• Familiarity with DevSecOps tools and practices (e.g., GitLab CI/CD, Jenkins, SonarQube, Nexus, Terraform).
• Solid understanding of Agile methodologies and secure software lifecycle principles.
• Strong, self-motivated desire to learn new programming languages, tools, frameworks, and techniques.
• Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph
• US Citizenship Required
Preferred:
• Frontend Web Development: UI/UX
• NoSQL Database: OpenSearch/Elasticsearch.
• Cloud Exposure: AWS, IBM, Google, Azure, and Oracle and S3, SQS, SNS, EC2, CloudFormation and RDS.
• Knowledge of geospatial data formats, tools, and standards (e.g., OGC, GeoServer, PostGIS, ESRI).
• Experience with IC enterprise environments and tools (e.g., Keycloak, Vault, CloudFormation)
• Certifications such as AWS Certified Developer, CISSP, Security+, SAFe Agile or similar.
Company:
Reinventing Geospatial (RGi) is a leading geospatial expert working with Defense, Intelligence, and Federal clients to achieve mission success and solutions for varied mission-critical programs. Founded in 2009, the company is headquartered in Fairfax, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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