ZipRecruiter

Log In

1

Senior Geospatial Data Engineer Jobs (NOW HIRING)

Prescient Edge

Senior Geospatial Analyst

Augusta, GA · On-site

$81.80K - $108.30K/yr

Job Title Senior Geospatial Analyst Location Augusta, GA 30905 US (Primary) Category Intelligence ... Extensive experience with geographically derived assessments, enterprise data integration, spatial ...

GRVTY

Geospatial Data Scientist

Mclean, VA

There are recurring opportunities on this team for Analytic / BigData Software Developers, Full ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

onX

Senior Geospatial Analyst - Offroad

Missoula, MT · On-site

$87.10K - $115.40K/yr

... developers to execute geospatial work that supports the Offroad product roadmap. This role is ... Research and evaluate geospatial data sources, making recommendations for new sources or ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Work with office IT, Data Engineers (DBAs), and application developers in deploying new data ... Experience processing geospatial data in the Cloud About Lynker Lynker is a growing, employee owned ...

next page

Showing results 1-20

People also search for

All JobsSenior Geospatial Data Engineer Jobs

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 1, 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 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 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 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 Data Engineer jobs near you
Senior Geospatial Database Administrator

Senior Geospatial Database Administrator

CACI International, Inc.

Denver, CO • On-site

$98.50K - $206.80K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago

Job description

Job Title: Senior Geospatial Database Administrator
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 1/1/2099
The Opportunity:
CACI's AGIS Release Train is at the forefront of delivering enterprise geospatial data capabilities in direct support of the National Geospatial-Intelligence Agency (NGA).
Our team designs, optimizes, and governs the spatial data infrastructure that underpins intelligence workflows at scale - converting complex geospatial data into actionable intelligence for our nation's most critical missions.
We work hand-in-hand with NGA mission partners and Agile delivery teams to build systems that are performant, secure, and built to last.
As a Senior Geospatial Database Administrator, you will serve as the technical authority for enterprise database architecture across a multi-team SAFe Agile environment. You will drive database design decisions, establish governance standards, and mentor the next generation of DBAs - all while directly enabling mission outcomes at one of the world's premier geospatial intelligence organizations.
Responsibilities:
  • Lead architecture decisions across relational and NoSQL geospatial platforms, including PostGIS and Oracle Spatial schema design, performance tuning, and indexing strategy
  • Implement and manage cloud-native table formats (Apache Iceberg, Apache Parquet) supporting large-scale geospatial data lake environments
  • Partner with the OpenShift platform team on containerized database deployments and cloud-native operations
  • Define and enforce data governance, access controls, and retention policies in compliance with NGA standards
  • Mentor junior and mid-level DBAs; actively contribute to sprint planning and Program Increment (PI) objectives across the Release Train

Qualifications:
Required:
  • Active TS/SCI Poly
  • 8+ years of database engineering experience, with at least 5 years in geospatial contexts
  • Expert-level PostgreSQL/PostGIS; working proficiency in Oracle Spatial or SQL Server
  • Hands-on experience with NoSQL platforms (MongoDB, Elasticsearch) for spatial data applications
  • Demonstrated production use of Apache Iceberg and/or Parquet in data pipeline environments
  • B.S. in Computer Science, Information Systems, Geography, or related field (equivalent experience accepted)

Desired:
  • Familiarity with OpenShift/Kubernetes for database containerization
  • Experience operating within SAFe or Agile delivery frameworks

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$98,500-$206,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Apply