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Full Time Geospatial Data Engineer Jobs (NOW HIRING)

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 ...

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

The Software Engineer, Geospatial Data position sits on our team responsible for civic and ... Monthly Office Upkeep Stipend $90,000 - $120,000 a year Status: Full-time Civitech is unable to ...

Software Engineer, Geospatial Data

Austin, TX · Remote

$117K - $140K/yr

The Software Engineer, Geospatial Data position sits on our team responsible for civic and ... Monthly Office Upkeep Stipend Status: Full-time Civitech is unable to provide visa sponsorship at ...

Responsibilities : • Use Python scripting and AWS services to automate geospatial data ingestion ... S. citizenship and Active TS/SCI with required polygraph • Willingness to work on-site full time ...

Data Modeling & Databases - Experience modeling geospatial data and working with relational ... Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization ...

Data Engineer

$117K - $140K/yr

Manage large-scale geospatial and temporal datasets stored in AWS S3. * Collaborate with data ... Type: Full-time * Reports to: Director of Engineering * Salary Based on Experience * Annual Bonus

They are seeking an experienced Geospatial Data Scientist to support gathering project requirements ... S. citizenship and Active TS/SCI with required polygraph • Willingness to work on-site full time ...

Data Modeling & Databases - Experience modeling geospatial data and working with relational ... Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization ...

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Full Time Geospatial Data Engineer information

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$5

$46

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How much do full time geospatial data engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for full time geospatial data engineer in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

How does a Full Time Geospatial Data Engineer typically collaborate with other teams within an organization?

A Full Time Geospatial Data Engineer frequently works alongside data scientists, software developers, and GIS analysts to design and implement geospatial data solutions. Collaboration often involves translating spatial data requirements into scalable data models, supporting the integration of geospatial data into larger analytics workflows, and troubleshooting data quality issues. Regular communication with cross-functional teams ensures that geospatial data products meet both technical standards and business needs. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth and exposure to diverse technologies.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These roles often require advanced skills, certifications, and extensive industry experience.

What is the difference between Full Time Geospatial Data Engineer vs GIS Analyst?

AspectFull Time Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentData development, database management, coding, cloud platformsMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, environmental organizations
Common Search & ComparisonYesYes

The Full Time Geospatial Data Engineer primarily focuses on building and maintaining geospatial data infrastructure, coding, and managing large datasets. In contrast, a GIS Analyst emphasizes spatial analysis, map creation, and interpreting geographic data for decision-making. Both roles require similar credentials and are used across various industries, but their core responsibilities differ, with engineers handling data systems and analysts focusing on analysis and visualization.

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

To thrive as a Full Time Geospatial Data Engineer, you need strong expertise in GIS concepts, spatial data analysis, programming (such as Python or SQL), and a relevant degree in geography, computer science, or a related field. Proficiency with GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and cloud platforms (such as AWS or Google Cloud) is typically required, along with certifications like GISP being advantageous. Excellent problem-solving, attention to detail, and effective communication skills set top candidates apart for collaborating across teams and presenting technical findings. These skills and qualities are crucial to ensure accurate spatial data processing, reliable solutions, and effective integration of geospatial insights into business or research objectives.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and certain engineering management roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require advanced certifications, leadership responsibilities, and expertise in areas like cloud computing, machine learning, or complex infrastructure.

What are Full Time Geospatial Data Engineers?

Full Time Geospatial Data Engineers are professionals who design, develop, and maintain systems that process and analyze geospatial data—information tied to geographic locations. They work with technologies like GIS (Geographic Information Systems), spatial databases, and programming languages to manage, transform, and visualize spatial datasets. Typically employed by organizations in fields such as environmental science, urban planning, transportation, and defense, these engineers ensure that geospatial data is accurate, accessible, and usable for decision-making. Their responsibilities often include building data pipelines, integrating various data sources, and collaborating with analysts, data scientists, and software developers.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, maintaining, and optimizing data infrastructure, and their expertise remains critical for managing complex data systems and integrating AI tools effectively.

Is geospatial engineering in demand?

Geospatial engineering is in high demand due to the increasing reliance on geographic information systems (GIS), remote sensing, and spatial data analysis across industries such as urban planning, environmental management, and transportation. Professionals with skills in GIS software, programming, and data management are sought after, and the field is expected to grow as data-driven decision-making becomes more prevalent.
More about Full Time Geospatial Data Engineer jobs
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 Full Time Geospatial Data Engineer jobs? States with the most job openings for Full Time Geospatial Data Engineer jobs include:

Geospatial Data Scientist

GRVTY

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

What Impact You'll Have:
Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform for geospatial analysis, touching nearly every type of mission. Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources are constantly being added. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize. Customer leadership also helps drive innovation and has created a close, collaborative idea exchange between staffers and contractors. Our Team Lead has said "this is simply the best group of people I've worked with". Despite this platform being widely used, there is a huge amount of brand new work adding new capabilities and data sources, as well as migrating more and more of the subsystems to AWS. There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. Work on this program takes place in the McLean, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable by this customer). THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance.
What You'll Be Owning:
GRVTY is seeking a Geospatial Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Mclean, VA
What You Must Have:
  • Active TS/SCI with Polygraph Clearance
  • Minimum 3 years of experience with a Bachelor's degree or 1 year of experience with a Master's degree
  • Python experience to automate data transformation and analysis of geospatial datasets
  • Experience working with PostgreSQL to extract data from RDBMS
  • Experience with AWS tools Linux experience
  • Experience with API Connections
  • Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS)

What Would Be Nice to Have:
  • Experience working with R, Tableau
  • Experience working with NiFi

#LI-BPJ
Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.