1

Senior Gis Data Engineer Jobs in Reston, VA (NOW HIRING)

Work in the field to collect geospatial data using a variety of environmental instruments and sensors * Work closely with scientists, analysts, engineers, and other team members to integrate GIS ...

Work in the field to collect geospatial data using a variety of environmental instruments and sensors * Work closely with scientists, analysts, engineers, and other team members to integrate GIS ...

Data Engineer, Sr.

Reston, VA · On-site

$110K - $149K/yr

Data Engineer, Sr. * Reston, VA Data Engineer, Sr. Reston, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where ...

GIS Analyst

Washington, DC · On-site

$54 - $60/hr

The DC Client Enterprise Data division seeks an on-site GIS Analyst who can leverage geographic ... in Programming and scripting languages such as Python and JavaScript Highly desired 3 Years • ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

The Senior Geospatial Data Engineer will build mission-critical geospatial data and analytics ... GIS, Computer Science, Data Science, Engineering, or a related technical discipline. • 12+ years ...

Data Engineer, Sr.

Reston, VA · On-site

$110K - $149K/yr

Data Engineer, Sr. Reston, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer ● Position Type: Hybrid ● Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

GIS Solution Engineer - AEC

Vienna, VA · On-site

$79K - $130K/yr

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok Duration: 6-12 months Position Summary The incumbent in this position will be part of the Data ...

The position contributes to AI-enabled, data-driven solutions that help users work across complex ... Bachelor's degree in GIS or related field with 0-3 years of experience. * Experience with GIS ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

The position contributes to AI-enabled, data-driven solutions that help users work across complex ... Performs geographic information systems (GIS) analyses on natural resources data * Plans, designs ...

Showing results 41-60

Senior Gis Data Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

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

As of Aug 6, 2026, the average yearly pay for senior gis data engineer in Reston, VA is $131,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $149,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Gis Data Engineer vs GIS Analyst?

AspectSenior Gis Data EngineerGIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, or related field; experience with GIS software and data engineeringBachelor's in Geography, GIS, or related; proficiency in GIS tools and spatial analysis
Work EnvironmentData engineering teams, software development, large-scale GIS data managementMapping, spatial analysis, project planning, client interaction
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, environmental consulting, government agencies

The main difference is that Senior GIS Data Engineers focus on building and maintaining GIS data infrastructure and pipelines, while GIS Analysts primarily analyze spatial data to support decision-making. Both roles require GIS knowledge, but the Data Engineer emphasizes data engineering skills, whereas the Analyst emphasizes spatial analysis and visualization.

What does a senior GIS data engineer do?

A Senior GIS Data Engineer is responsible for designing, developing, and maintaining geospatial data systems and infrastructure. They work with geographic information system (GIS) technologies to collect, store, analyze, and visualize spatial data. Their role often includes optimizing data pipelines, integrating various geospatial datasets, and ensuring data quality and performance. Additionally, they may collaborate with other engineers, data scientists, and stakeholders to support mapping applications or location-based services. Senior GIS Data Engineers typically have advanced experience with programming, spatial databases, and GIS software.

How does a senior GIS data engineer typically collaborate with cross-functional teams to deliver geospatial solutions?

As a Senior GIS Data Engineer, you will frequently work alongside data scientists, software developers, and project managers to design, implement, and optimize geospatial data pipelines. Collaboration often involves gathering project requirements, integrating diverse data sources, and ensuring that spatial data aligns with application needs. Effective communication is key, as you will be responsible for translating technical GIS concepts into actionable insights for stakeholders and helping to troubleshoot data-related challenges across teams.

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

To thrive as a Senior GIS Data Engineer, you need expertise in spatial data analysis, database management, programming (often in Python or SQL), and a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud-based data services, and certifications like Esri Technical Certification are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help in collaborating across teams and delivering precise data solutions. These capabilities are essential to ensure the accuracy, scalability, and usability of geospatial data in supporting organizational decision-making.
What job categories do people searching Senior Gis Data Engineer jobs in Reston, VA look for? The top searched job categories for Senior Gis Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Senior Gis Data Engineer jobs? Cities near Reston, VA with the most Senior Gis Data Engineer job openings:
Infographic showing various Senior Gis Data Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.

$129K - $155K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Contract: DOW - Women, Peace, and Security Act Mission Support

Work Location: Pentagon, Washington D.C. Metro

Reporting Hours: Eastern Business Hours

Clearance: Top Secret

Travel: Not required

 

Geocgi is looking for a Data Engineer to support the Department of War's Women, Peace, and Security mission requirements by developing, organizing, and sustaining the data environment needed for analysis, reporting, and decision support across Joint Staff and partner organizations. This role identifies mission-relevant data sources, engineers reliable access to those sources, and transforms raw information into curated, usable datasets that support operational, statutory, training, and leadership reporting. The position works in a secure government environment and collaborates closely with analysts, subject matter experts, and government stakeholders to improve data quality, accessibility, and consistency. The role also supports development and maintenance of WPS AI-enabled tools and other in-scope data support activities as directed.
This position is a on-site opportunity at the Pentagon in northern Virginia.  

Key Responsibilities:

  • Develop, maintain, and improve automated data pipelines to ingest, clean, transform, and integrate information from multiple mission-critical data sources into centralized repositories. Manage curated datasets as discoverable assets, including organizing metadata, documenting data definitions, and maintaining data standards that support reliable analysis and reporting.
  • Identify, acquire, and engineer access to data sources across the Department of Defense, Joint Staff, and interagency stakeholders in support of WPS mission requirements. Support collection, collation, validation, and preparation of data used for statutory reporting, NATO reporting, planning inputs, leadership decision support, and other recurring mission deliverables.
  • Partner with analysts, WPS subject matter experts, and government personnel to translate operational requirements into practical data solutions. Contribute to reporting products, course survey summaries, analytical support efforts, and continuous improvement of data processes, repositories, and AI-enabled tools that support mission execution.
  • Maintain clear technical and functional documentation for datasets, workflows, and standards to promote usability, traceability, and continuity. Ensure data assets are structured and maintained in a way that supports accessibility, consistency, and downstream analytical use in a sensitive government environment.

As an employee of geocgi, the Data Engineer will have access to a generous benefits package, in addition to a corporate culture and community of GIS geeks. Our benefits include but are not limited to:

  • Competitive salaries, commensurate with experience and leading Federal Contractors in the geospatial industry.
  • Opportunities for upward mobility in a dynamic fast paced environment within a small company.
  • Merit-based spot and end of year bonuses.
  • Safe Harbor 401(k) plan with immediate vesting.
  • Flexible work hours and PTO.
  • Enjoy 100% company-paid medical, dental, and vision premiums for individual employees. Coverage extensions for spouses and child dependents are available for purchase through the company plan.
  • Company paid training, certifications, and professional growth and development.

The following are requirements of the Data Engineer:  

  • U.S. Citizen with Active Top Secret clearance.
  • Minimum of 5 years of professional experience.
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
  • Required experience includes joint doctrine, strategic planning, the operational planning process, and DoD security cooperation.
  • Minimum of three years (3) of experience leading data-centric programs, with demonstrated expertise in designing and implementing enterprise data strategy, architecture, and governance.
  • Hands-on mastery of data engineering, including building and maintaining secure data pipelines and managing data warehouse solutions in a cloud environment (e.g., AWS, Azure).
  • Must demonstrate expert-level proficiency with data programming languages (e.g., Python, R) and the development of interactive dashboards for senior leadership using visualization tools (e.g., Tableau, Power BI).
  • Experience using Microsoft Office Suite applications (Outlook, Excel, Word, PowerPoint, Access) to support analysis, reporting, and coordination.

The following are preferred of the Data Engineer:

  • Preferred candidates have experience in data management, data engineering, analytics support, reporting operations, or information organization in a mission-driven environment. They should be able to design practical data solutions, manage structured and semi-structured information, and maintain disciplined documentation and metadata practices that support long-term usability and governance.
  • Experience supporting Department of Defense, Joint Staff, combatant command, interagency, or other federal organizations is strongly preferred. Candidates should be comfortable working with multiple stakeholders, handling evolving mission requirements, and supporting data-driven decision-making in a secure or classified environment.
  • Experience with data pipeline development, repository management, data cataloging, reporting workflows, and data quality improvement is highly desirable. Familiarity with mission support related to statutory reporting, training reporting, leadership reporting, or AI-enabled workflow support is also beneficial.

The annual base salary range for this position is anticipated to be $110,000-$115,000 USD. The listed salary range represents our good faith estimate for this position. Please note that the salary information is a general guideline only. Geocgi considers factors such as (but not limited to) scope and responsibilities of the position, candidate's education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.