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Geospatial Data Engineer Remote Jobs in Philadelphia, PA

This role converts KMZ/KML and other geospatial data into clear, constructible routes; develops ... engineering * Proficiency with KMZ/KML and at least one GIS/mapping platform (Google Earth Pro ...

... data engineers, and product teams. WORKING CONDITIONS: * Traditional office environment with low-to-moderate office noise (computers, phones and business conversations). The position may be remote ...

Direct Mail Programmer

West Deptford, NJ · On-site +1

$70K - $100K/hr

This position is ideal for a candidate with strong experience in both data processing and mail ... However, we are open to a hybrid in-office/remote arrangement for the right candidate, and we may ...

Posted today

Direct Mail Programmer

Thorofare, NJ · On-site +1

$70K - $100K/hr

This position is ideal for a candidate with strong experience in both data processing and mail ... However, we are open to a hybrid in-office/remote arrangement for the right candidate, and we may ...

Posted today

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Integrate AI models, data pipelines, and inference services into production systems. * Collaborate ...

Lead Security Engineer

Fort Washington, PA · On-site +1

$126K - $210K/yr

Req ID: 370870 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... This is a hybrid role with 3 days on-site in the office and 2 days remote. Only local candidates ...

Lead Security Engineer

Fort Washington, PA · On-site +1

$126K - $210K/yr

Req ID: 370870 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... This is a hybrid role with 3 days on-site in the office and 2 days remote. Only local candidates ...

Showing results 41-60

Geospatial Data Engineer Remote information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

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 Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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 the most commonly searched types of Geospatial Data Engineer jobs in Philadelphia, PA? The most popular types of Geospatial Data Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Philadelphia, PA? For Geospatial Data Engineer Remote jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Philadelphia, PA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Geospatial Data Engineer Remote jobs? Cities near Philadelphia, PA with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Philadelphia, 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 $130,895 per year, or $62.9 per hour.

Data Architect- Payer (Healthcare) || Fulltime || Remote

Smart IT Frame

Philadelphia, PA • Remote

$65.25 - $84/hr

Full-time

Re-posted 19 days ago


Job description

 
Role: - Data Architect- Payer (Healthcare)
 
Location: - Philadelphia PA/ Remote 
 
Fulltime 
 

Job Description: -

·       Overall 14+ years of Azure & Data Engineering experience

·       Design and develop cloud-native applications and services using modern architecture patterns.

·       Collaborate with product managers, developers, and other stakeholders to define application requirements and specifications.

·       Strong hands-on experience in Database design, ETL with primary skills on Azure Databricks - Build data Pipelines using ADB - leveraging Python and PySpark, ADF: Azure Data Factory, Azure Data Lake Gen 2, Synapse Analytics.

·       Good experience and knowledge in scripting languages such as Python, PySpark, Spark SQL or Shell Scripting, etc.

·       In-depth understanding of various storage services offered by Azure and TIDAL Scheduler.

·       Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments.

·       Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines.

·       Minimum 3 years of real project experience.

·       Manage/Mentor tech team members.

·       Evaluate and recommend cloud technologies and tools to enhance application performance and reliability.

·       Lead the migration of existing applications to cloud environments, ensuring minimal disruption and optimal performance.

·       Implement best practices for cloud security, compliance, and governance.

·       Monitor and optimize application performance, scalability, and cost-efficiency in cloud environments.

·       Provide technical leadership and mentorship to development teams, fostering a culture of innovation and continuous improvement.

·       Stay current with emerging cloud technologies and trends, and assess their potential impact on our architecture and applications.

·       Provide Technical Assistance, Problem Resolution and Troubleshooting Support.

·       Document architectural designs, standards, and guidelines for cloud application development.

·       Good understanding of the functional domain especially Healthcare domain and Tidal Scheduler.

·       Good understanding of the SDLC and Agile methodologies.

·       Good communication and soft skills.

Qualifications:

·       Bachelor’s degree in computer science, Information Technology, or a related field; Master’s degree preferred.

·       Proven experience as a Cloud Application Architect or in a similar role, with a strong portfolio of successful cloud projects.

·       In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and their services.

·       Proficiency in programming languages such as Java, Python, or C# and experience with microservices architecture.

·       Familiarity with containerization technologies (Docker, Kubernetes) and serverless computing.

·       Strong understanding of cloud security best practices and compliance requirements.

·       Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

·       Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

·       Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

·       Experience with DevOps practices and CI/CD pipelines.

·       Knowledge of database technologies (SQL, NoSQL) and data architecture principles.