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Geospatial Data Engineer Remote Jobs in Arlington, VA

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Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client's National Customer Service ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245506 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable ...

Data Architecture & Engineering * Design and maintain enterprise data architectures supporting C ... Knowledge of geospatial data, intelligence data formats, or multi-INT fusion. * Background in ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245362 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245235 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Data Engineer II or III WHY 540? 540 is a forward-thinking company that the government turns to in ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: SQL Data Engineer Location-Type: Remote (EST/CST Preferred) Start Date Is: ASAP Duration:

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 ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Showing results 41-60

Geospatial Data Engineer Remote information

See Arlington, VA salary details

$51.2K

$149.2K

$204.2K

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

As of Aug 26, 2026, the average yearly pay for geospatial data engineer remote in Arlington, VA is $149,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $158,200.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

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

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are popular job titles related to Geospatial Data Engineer Remote jobs in Arlington, VA?

For Geospatial Data Engineer Remote jobs in Arlington, VA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Arlington, VA look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Arlington, VA are:

What cities near Arlington, VA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Arlington, VA with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Arlington, VA as of June 2026, with employment types broken down into 41% Full Time, and 59% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $149,233 per year, or $71.7 per hour.

Data Engineer

ResolveSoft Inc

Washington, DC • Remote

$98K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

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Job description

Position: Data Engineer / Data Project Lead
Location: Remote

Position Summary

The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client’s National Customer Service Improvement Project (CSIP). This role is responsible for leading the design, development, integration, maintenance, and continuous improvement of data pipelines, workflow and task management solutions, and analytical tools that support the Client’s grants management, oversight, and decision-making needs.

The Data Engineer / Data Project Lead oversees data-focused staff assigned to the contract, ensures high-quality, secure, and sustainable data solutions, and applies user-centered, iterative approaches to data project delivery in alignment with federal policies and system requirements.

 

Primary Responsibilities

  • Lead planning, execution, and delivery of data management and data engineering projects supporting Office of Head Start program oversight and operations.
  • Apply iterative and flexible project management approaches to prioritize work based on value, user needs, and level of effort.
  • Coordinate closely with the Project Manager to align data project priorities with contract deliverables and performance metrics.
  • Supervise and provide technical direction to data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists.
  • Design, build, and maintain data pipelines, integrations, and automation processes using federally compliant tools and platforms.
  • Support integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools.
  • Maintain and enhance workflow and task tracking solutions, including Smartsheet-based tools (e.g., SmartFlow).
  • Support the use of the Client’s Data Layer and cloud-based infrastructure to enable scalable, secure data processing and analysis.
  • Ensure data accuracy, integrity, and alignment across systems, mitigating competing sources of truth.
  • Implement and support data quality assurance, validation processes, and governance practices appropriate for federal environments.
  • Ensure documentation of data structures, pipelines, and processes to support knowledge transfer and continuity.
  • Lead development of data products, dashboards, reports, and automated outputs that support grants management, monitoring, and leadership decision-making.
  • Support generation of standardized documents and correspondence through automated data integration where appropriate.
  • Enable data-informed decision-making through improved access to timely, relevant, and well-structured data.
  • Analyze data workflows and business processes to identify opportunities for efficiency, automation, and improvement.
  • Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials.
  • Support the development of training materials and guidance to promote consistent use of data tools and solutions.
  • Respond to data-related inquiries and support ad hoc and recurring data requests from Client staff and leadership.
  • Participate in briefings, meetings, and planning sessions related to data management initiatives.
  • Support coordination across technical and programmatic teams to ensure solutions align with operational needs.

Required Qualifications

  • Bachelor’s degree in computer science, information systems, data science, or a related field from an accredited institution.
  • 10+ years of progressively responsible post-baccalaureate professional experience in data engineering, data management, or related technical roles.
  • 3+ years of supervisory or technical team leadership experience.
  • 3+ years of experience designing and managing complex, high-profile, multi-faceted data projects.
  • 3+ years of experience with data integration, ETL processes, database design, and data pipelines.
  • 1+ years of experience in early childhood education and/or Head Start programs.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.

Preferred Qualifications

  • Experience supporting federal information systems or federal grant programs.
  • Experience in applying AI or advanced analytics in data pipelines.
  • Demonstrated ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Proven ability to address team and stakeholder issues and support problem resolution.
  • Proficiency in SQL and at least one programming language (e.g., Python).
  • Experience with APIs, data integration, and automation tools.
  • Experience with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data governance, security, and federal information system requirements.
  • Familiarity with project management methodologies; Agile/Scrum experience preferred.


Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.