ZipRecruiter

Log In

1

Geospatial Database Manager Jobs (NOW HIRING)

SAIC

GIS Database Engineer

Vienna, VA · Remote

$160K - $200K/yr

... enterprise geospatial database solutions supporting mission‑critical applications. You will guide customers through data management strategies and implement secure, scalable environments.

Phase2 Technology

Oracle Database Engineer

Chantilly, VA · On-site

$86K - $198K/yr

In this role, you will utilize experience with geospatial data and databases ensuring high availability, performance, and data integrity. This role is more than just data management. As an Oracle ...

Phase2 Technology

Oracle Database Engineer

Springfield, VA · On-site

$86K - $198K/yr

In this role, you will utilize experience with geospatial data and databases ensuring high availability, performance, and data integrity. This role is more than just data management. As an Oracle ...

Kaukahi

Geospatial Analyst

Huntsville, AL · On-site

$18 - $23/hr

Must have a good understanding of cartography, map reading, geospatial database creation and design, and methods of geospatial data development and data management. The preferred candidate will also ...

SAIC

GIS Database Engineer

Vienna, VA · On-site

$160K - $200K/yr

... enterprise geospatial database solutions supporting mission-critical applications. You will guide customers through data management strategies and implement secure, scalable environments.

Incatech Corp

Geospatial Engineer

Springfield, VA · On-site

Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools * Design, build, maintain, and test geospatial databases and enterprise geodatabases * Perform spatial ...

SAIC

GIS Database Engineer

Vienna, VA · On-site

$160K - $200K/yr

... enterprise geospatial database solutions supporting mission-critical applications. You will guide customers through data management strategies and implement secure, scalable environments.

INCATech LLC

Geospatial Engineer

Northern Virginia, VA · On-site

Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools * Design, build, maintain, and test geospatial databases and enterprise geodatabases * Perform spatial ...

previous pagenext page

Showing results 21-40

All JobsGeospatial Database JobsGeospatial Database Manager Jobs

Geospatial Database Manager information

See salary details

$31K

$97.1K

$172K

How much do geospatial database manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for geospatial database manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a geospatial database manager do?

A Geospatial Database Manager is responsible for designing, maintaining, and optimizing databases that store geographic and spatial data. They ensure the accuracy, security, and accessibility of geospatial information for organizations, supporting applications such as mapping, analysis, and decision-making. Their duties often include data integration, quality control, and collaborating with GIS analysts and IT professionals to support complex geospatial projects. Geospatial Database Managers play a key role in enabling organizations to make data-driven decisions using spatial data.

What are the key skills and qualifications needed to thrive as a geospatial database manager?

To thrive as a Geospatial Database Manager, you need expertise in GIS principles, spatial data management, and database administration, typically supported by a degree in geography, computer science, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, SQL databases, and certifications like GISP are commonly required. Strong problem-solving, attention to detail, and effective communication skills help you collaborate across teams and ensure data accuracy. These abilities are vital to maintaining reliable geospatial data infrastructures that support critical decision-making and project success.

How does a geospatial database manager typically collaborate with GIS analysts and other departments?

As a Geospatial Database Manager, you'll frequently work alongside GIS analysts, data scientists, and IT professionals to ensure spatial data is accurate, accessible, and secure. Collaboration often involves understanding the data needs of various departments, optimizing database structures for efficient queries, and troubleshooting data integrity issues. You may also be responsible for training team members on best practices and new technologies, fostering a collaborative environment that supports shared organizational goals. Effective communication and problem-solving skills are crucial in bridging technical and non-technical teams.

What is the difference between Geospatial Database Manager vs GIS Analyst?

AspectGeospatial Database ManagerGIS Analyst
Primary RoleOversees the design, maintenance, and management of geospatial databasesAnalyzes spatial data to create maps and reports
Skills & CertificationsGIS certifications, database management skills, spatial data expertiseGIS software proficiency, spatial analysis skills, often GIS certifications
Work EnvironmentDatabase administration, data management teams, GIS departmentsFieldwork, data analysis teams, planning departments
Industry UsageGovernment agencies, utilities, environmental firmsUrban planning, environmental consulting, research

The main difference is that Geospatial Database Managers focus on maintaining and managing spatial databases, ensuring data integrity and accessibility, while GIS Analysts primarily analyze spatial data to produce maps and insights. Both roles require GIS skills and certifications but serve different functions within geospatial projects.

What states have the most Geospatial Database Manager jobs?

States with the most job openings for Geospatial Database Manager jobs include:

What are popular job titles related to Geospatial Database Manager jobs?

For Geospatial Database Manager jobs, the most frequently searched job titles are:

Infographic showing various Geospatial Database Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Senior Geospatial Data Engineer

Saint Louis, MO • On-site

Object Computing, Inc.
IT Services • 51 - 200 employees
Learn more about Object Computing, Inc.external

$103K - $140K/yr

Full-time

Re-posted 26 days ago

Job description

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.
What you will do:
  • Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience.
  • Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
  • Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.
  • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.
  • Translate complex analytics and business questions into actionable, production-grade data solutions.
  • Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.
  • Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Mentor and provide technical guidance to junior data engineers and team members.
  • Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership.
  • Proactively recommend and implement improvements to existing data infrastructure and software programs.
  • Stay current with industry trends and emerging technologies in geospatial data engineering.
What you will bring:
  • An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes.
  • Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.
  • Experience building solutions with Python.
  • Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.
  • Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure).
  • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.
  • Experience integrating with API-driven, service-to-service web services.
  • Demonstrated ability to lead projects, mentor team members, and drive technical decisions.
  • Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.
  • Excellent organizational, interpersonal, and communication skills.
What will make you stand out:
  • Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).
  • Experience deploying and scaling machine learning (ML) models/algorithms in production.
  • Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).
  • Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.
  • Experience working with LiDAR data and deriving real-world insights from point clouds.
  • Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.
  • Experience with data streaming, real-time data processing, or cloud-native geospatial solutions.
  • Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).
  • Experience with OAuth, authentication, and API key management for secure service-to-service communication.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply