2

Geospatial Data Engineer Remote Jobs in Virginia

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 ...

Data Engineer

Richmond, VA · Remote

$113K - $136K/yr

Join a fully remote opportunity where you'll help shape data-driven reporting, streamline workflows ... This role blends hands-on data engineering with dashboard development, offering the chance to work ...

New

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 ...

Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ... Experience in data modeling, partition sharding, stream processing, and metrics gathering.

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Experience developing and automating geospatial or imagery processing workflows * Strong foundation ...

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Experience developing and automating geospatial or imagery processing workflows * Strong foundation ...

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience with geospatial data analysis * Experience with Databricks for data science workflows ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

Showing results 41-60

Geospatial Data Engineer Remote information

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 the most commonly searched types of Geospatial Data Engineer jobs in Virginia?

The most popular types of Geospatial Data Engineer jobs in Virginia are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Virginia?

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

What job categories do people searching Geospatial Data Engineer Remote jobs in Virginia look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Virginia are:

What cities in Virginia are hiring for Geospatial Data Engineer Remote jobs?

Cities in Virginia with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

540

Arlington, VA • Remote

$131K - $158K/yr

Full-time

Posted 21 days ago


Job description

540 is seeking a Data Engineer to support a mission-critical federal health data modernization initiative. The team is bringing together data from diverse defense and federal systems to build scalable pipelines, APIs, and data products that improve how critical information is integrated, accessed, and used.

In this role, you'll work hands-on with complex health and mission data to develop scalable, production-ready capabilities while helping establish reusable patterns for data ingestion, integration, and delivery. Your work will contribute to the technical foundation of a growing data platform ecosystem supporting multiple teams, data products, and mission areas.

Location: Remote within the continental United States. Periodic travel may be required
Citizenship & Clearance Requirement: per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance
Education Requirement: Bachelor's Degree in Computer Science, Engineering, Data Science, or a related technical field (preferred)
540 Internal Thrive Level: Data Engineer II or III

WHY 540?

540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.

HOW YOU'LL DRIVE IMPACT

  • Design, develop, and maintain scalable, production-ready data pipelines using Spark, Python, and SQL in a Databricks environment
  • Integrate and transform diverse health, financial, and operational datasets into reliable, reusable data products
  • Develop data models and analytics datasets that support enterprise reporting and operational decision-making
  • Build and maintain API-based integrations for ingesting and exchanging data across systems
  • Monitor, troubleshoot, and optimize scheduled workflows and production pipelines for performance, reliability, and scalability
  • Implement data validation, quality checks, lineage, and governance practices that improve trust in data products
  • Contribute to automated testing, code reviews, technical documentation, and reusable engineering patterns
  • Collaborate with engineers, architects, analysts, and customer stakeholders to translate data needs into practical technical solutions

REQUIRED SKILLS & EXPERIENCE

  • 3+ years of data engineering, software engineering, or related technical experience
  • Strong proficiency with Python and SQL
  • Experience with Apache Spark or similar distributed data-processing frameworks
  • Experience working with Databricks or a similar modern data platform
  • Experience building and maintaining production data pipelines and ETL/ELT processes
  • Working knowledge of data modeling and transforming raw data into reusable analytics datasets or data products
  • Experience integrating or consuming data through REST APIs
  • Experience troubleshooting and optimizing data pipelines for performance and reliability
  • Familiarity with data validation, quality, governance, security, privacy, and compliance considerations
  • Experience with Git-based development workflows and modern software engineering practices
  • Comfort working in terminal and command-line environments
  • Strong communication skills and experience working with customers or stakeholders to understand and resolve data needs
  • Ability to navigate ambiguity, learn unfamiliar systems, and independently drive assigned work toward resolution

NICE TO HAVE SKILLS & EXPERIENCE

  • AWS cloud experience
  • Experience working with very large datasets, including datasets containing billions of records
  • Experience with Palantir Foundry
  • Experience with Advana or similar DoW data environments
  • Experience with GitLab, CI/CD pipelines, or automated deployment workflows
  • Experience working with federal health, financial, or other regulated and sensitive data
  • Experience using AI-assisted development tools to accelerate routine engineering tasks, testing, documentation, and debugging

BENEFITS & PERKS

  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)

540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.