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Geospatial Data Engineer Remote Jobs in Exton, PA

Back-End Engineer

Philadelphia, PA ยท Remote

$75K - $125K/yr

Develop and enhance software for advanced Condition Assessment and Remote Monitoring systems in ... Implement processes and technologies to gather, analyze, and validate shipboard equipment data ...

Senior AI Engineer

Wilmington, DE ยท On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role ... As a Senior AI Engineer, your experience as a mentor and your ability to developing clean, scalable ...

Web Engineer

Philadelphia, PA ยท Remote

$170K - $220K/yr

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data ... Remote position * Various benefits * Will get to have continued ownership around this project and ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

Together, we're delivering the data infrastructure layer that helps organizations move, transform ... This is a full-time remote position based out of the AMER-East region, Texas, and Philadelphia.

Showing results 41-60

Geospatial Data Engineer Remote information

See Exton, PA salary details

$42.9K

$125.2K

$171.3K

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

As of Aug 7, 2026, the average yearly pay for geospatial data engineer remote in Exton, PA is $125,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $132,700.00 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 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Exton, PA? For Geospatial Data Engineer Remote jobs in Exton, PA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Exton, PA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Exton, PA are:
What cities near Exton, PA are hiring for Geospatial Data Engineer Remote jobs? Cities near Exton, PA with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Exton, PA as of August 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,195 per year, or $60.2 per hour.

Back-End Engineer

Delphinus Engineering

Philadelphia, PA โ€ข Remote

$75K - $125K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


Job description

SALARY RANGE: $75,000 - $125,000 per year

In determining compensation, various factors will be considered, including but not limited to, educational background; relevant experience, knowledge, skills, and abilities, market factors; and geographic location.

BENEFITS: All eligible full time employees will receive Paid Annual Leave (PAL) starting at 23 days per year and raising by one day per year following one full calendar year of employment (January through December). They will also be offered health benefits and will be automatically enrolled in employer paid short and long term disability and life insurance.

All full time and part time employees have access to participate in the Delphinus Engineering 401(k) which includes company match of 25% up to 10% deferred.

GENERAL SUMMARY: The Back-End Engineer position supports the design, development, and maintenance of sophisticated Condition Assessment Systems and Remote Monitoring Systems that are crucial for naval operations. The Back-End Engineer will work with a modern tech stack to build and enhance software that directly supports Condition-Based Maintenance (CBM) methodologies for vital naval equipment.

LOCATION: Philadelphia, PA

PRINCIPAL DUTIES/RESPONSIBILITIES:

  • Develop and enhance software for advanced Condition Assessment and Remote Monitoring systems in support of the NSWCPD.
  • Design, code, and implement software upgrades, enhancements, and new utilities using Go, with exposure to Javascript, Kotlin, and other languages as needed.
  • Provide routine software maintenance, technical administration, and hardware setup support.
  • Manage and optimize relational databases (PostgreSQL, TimescaleDB), including schema design, query optimization, and administrative functions.
  • Create and deliver comprehensive software development plans and packages.
  • Conduct rigorous software development testing in accordance with IEEE standards.
  • Implement processes and technologies to gather, analyze, and validate shipboard equipment data, troubleshooting issues to ensure data integrity.

EDUCATION AND EXPERIENCE REQUIREMENTS:

  • Bachelor’s level degree in Computer, Electrical or Electronics Engineering, or Mathematics with field of concentration in computer science or equivalent. from an accredited college or university.
  • At least 3 years of experience in computer design, software development or computer networks including software design.
  • C/C++ experience preferred.
  • Experience in the design, development, and implementation of machinery lifecycle management software systems preferred.
  • Familiarity with and have developed applications using the DoDAF standards preferred.

SPECIAL REQUIREMENTS:

  • Successful applicants must either have an active government security clearance or the ability to receive approval upon position acceptance.
  • Must have a valid US passport or the ability to obtain one upon position acceptance.
  • Ability to obtain OS certification or complete approved related training within 180 days of hire.
  • A+ CE, CCNA-Security, CND, Network+ CE, or SSCP certification preferred.
  • U.S. Citizenship is required.

SKILLS AND ABILITIES:

Essential Skills:

  • Proven professional experience in software development, particularly with Go (GoLang).
  • Demonstrated proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MS SQL).
  • Strong experience with container orchestration using Kubernetes.
  • Hands-on experience with message brokers such as RabbitMQ, Kafka, or similar.
  • Proficiency with version control using Git.
  • Experience with API design and implementation using gRPC and GraphQL.
  • Solid understanding of the Linux operating system and command line.
  • Due to the nature of this work, U.S. Citizenship is required.

Additional Preferred Skills:

  • Experience designing and building event-driven microservices architectures.
  • Experience in industrial analytics, machinery diagnostics, or condition-based maintenance (CBM) systems.
  • Experience with time-series databases (e.g, TimescaleDB, InfluxDB, etc.).
  • Prior experience delivering Data-as-a-Service (DaaS) or Platform-as-a-Service (PaaS) solutions.
  • Familiarity with U.S. Government or Department of Defense development environments.