1

Senior Geospatial Data Engineer Jobs (NOW HIRING)

This role requires a deep understanding of geospatial data, strong analytical skills, and the ... Familiarity with programming languages (e.g., Python, R) for geospatial analysis and automation

This role requires a deep understanding of geospatial data, strong analytical skills, and the ... Familiarity with programming languages (e.g., Python, R) for geospatial analysis and automation

This role requires a deep understanding of geospatial data, strong analytical skills, and the ... Familiarity with programming languages (e.g., Python, R) for geospatial analysis and automation

next page

Showing results 1-20

Senior Geospatial Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do senior geospatial data engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for senior geospatial data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Geospatial Data Engineer, and why are they important?

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 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 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 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 cities are hiring for Senior Geospatial Data Engineer jobs? Cities with the most Senior Geospatial Data Engineer job openings:
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
What states have the most Senior Geospatial Data Engineer jobs? States with the most job openings for Senior Geospatial Data Engineer jobs include:
Senior Geospatial Intelligence Analyst

Senior Geospatial Intelligence Analyst

Leidos

Arlington, VA • On-site

$92K - $166K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

56th of 430 rated business services


Job description

Description

Leidos is actively interviewing for a Senior Geospatial Intelligence Analyst to join our team in Springfield, VA.

The Senior Geospatial Intelligence Analyst is a subject matter expert responsible for leading advanced geospatial analysis, supporting intelligence production, and providing actionable insights through the integration of big data, structured data, and advanced visualization techniques. This role requires a deep understanding of geospatial data, strong analytical skills, and the ability to support multiple offices and mission sets simultaneously. The ideal candidate excels at transforming complex data into clear, decision-ready intelligence products for a variety of stakeholders.

Key Responsibilities

Big Data Trend Analysis

  • Lead the collection, integration, and analysis of large-scale geospatial datasets to identify patterns, trends, and anomalies relevant to mission objectives

  • Apply advanced statistical and geospatial techniques to extract actionable intelligence from diverse data sources

Data Structuring

  • Design, implement, and maintain structured geospatial databases to ensure data integrity, accessibility, and usability

  • Develop and enforce data standards, metadata, and best practices for geospatial data management

Intelligence Production Support

  • Provide expert geospatial analysis in support of intelligence production, including the creation of maps, reports, and briefings

  • Collaborate with intelligence teams to fuse geospatial data with other intelligence sources for comprehensive assessments

Multiple Office Production Support

  • Serve as a geospatial subject matter expert supporting multiple offices and mission areas, ensuring timely and accurate delivery of geospatial products

  • Coordinate and prioritize analytical support across diverse teams and projects

Graphic and Visualization Support

  • Develop high-quality geospatial visualizations, graphics, and cartographic products to communicate complex findings to technical and non-technical audiences

  • Advise on best practices for visual storytelling and data presentation in intelligence products

Basic Qualifications

  • 5+ years of experience in geospatial intelligence analysis or a related field

  • Advanced proficiency with ESRI geospatial analysis tools (e.g., ArcGIS)

  • Experience with big data analytics and geospatial data structuring

  • Demonstrated ability to produce high-quality geospatial intelligence products and visualizations

  • Strong written and verbal communication skills, including experience briefing senior leadership

  • Proven ability to support multiple teams and manage competing priorities

  • Active TS/SCI clearance with ability to be approved for a Polygraph

Preferred Qualifications

  • Bachelor’s or Master’s degree in Geospatial Science, Geography, Remote Sensing, Data Science, or a related field

  • Experience supporting intelligence, defense, or government organizations

  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.

  • Familiarity with programming languages (e.g., Python, R) for geospatial analysis and automation

  • Experience with cloud-based geospatial platforms and big data environment.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:June 16, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $92,300.00 - $166,850.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media