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Geospatial Data Engineer Remote Jobs (NOW HIRING)

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

This position is remote and requires the ability to obtain and retain a public-trust clearance ... Experience with GIS or geospatial data platforms * Experience with AI/ML data engineering or MLOps ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113.60K - $136.40K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

Data Engineer - Remote

Jersey City, NJ · On-site +1

$125.40K - $150.50K/yr

Data Engineer Duration: 6 -12 months Location: Remote project Skill Sets & Experiences- * Experience modeling using RDF TripleStore for Graph Database * Strong experience using SQL * Strong ...

Data Engineer - Remote

Virginia Beach, VA · Remote

$108.70K - $130.50K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

Data Engineer

$117.20K - $140.70K/yr

Data Engineer (Remote - Federal Contract Opportunity) We are seeking a Data Engineer to support U.S. Federal clients in designing, building, and maintaining scalable data solutions. This role focuses ...

Senior Data Engineer

Washington, DC · On-site +1

$120.10K - $163.10K/yr

This position is remote and requires the ability to obtain and retain a public-trust clearance ... Experience with GIS or geospatial data platforms * Experience with AI/ML data engineering or MLOps ...

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary Responsibilities: * Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

Data Engineer

$117.20K - $140.70K/yr

This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position ... Familiarity with demographic, economic, and geospatial data sources and structures * Experience ...

Geospatial Analyst

$85K - $120K/yr

Apply GIS and remote sensing tools to analyze spatial data in support of FEMA's planning and disaster response operations. * Develop and maintain geospatial models and visualizations that inform risk ...

Geospatial Analyst

$85K - $120K/yr

Apply GIS and remote sensing tools to analyze spatial data in support of FEMA's planning and disaster response operations. * Develop and maintain geospatial models and visualizations that inform risk ...

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Geospatial Data Engineer Remote information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 31, 2026, the average yearly pay for geospatial data engineer remote in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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 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 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.

More about Geospatial Data Engineer Remote jobs
What cities are hiring for Geospatial Data Engineer Remote jobs? Cities with the most Geospatial Data Engineer Remote job openings:
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
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What job categories do people searching Geospatial Data Engineer Remote jobs look for? The top searched job categories for Geospatial Data Engineer Remote jobs are:
Fabric Data Engineer (Remote)

$60 - $72/hr

Other

Posted 17 days ago


Job description

Fabric Data Engineer (Remote)

We are seeking a skilled Data Engineer with strong Python/PySpark expertise to build and maintain scalable cloud-based pipelines within Azure environments such as Microsoft Fabric or Synapse.

As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact .


  • Job Type: Long-term contract
  • Compensation: This job expects to pay about $60 - $72 per hour plus benefits
  • Location: Remote
  • No C2C. No Visa Sponsorship Available for this role

What You ll Do:


  • Design, develop, test, and maintain PySpark notebooks to ingest data from: SharePoint (REST/Graph API), Outlook (Graph/REST API), and 3rd party REST APIs
  • Bronze layer (raw): persist ingestion in Delta Lake/Parquet with minimal transformations, preserving schema drift and auditing metadata
  • Silver layer (curated): apply data quality checks, deduplication, normalization, standardization, and business-key alignment
  • Implement and maintain a star-schema data model (facts and dimensions) for analytics
  • Build and maintain CI/CD for data pipelines (Git, unit tests, deployment to Databricks/Azure Synapse, etc.)
  • Implement monitoring, alerting, retries, and idempotent ingest strategies
  • Data governance: lineage, masking of PII/PII-sensitive fields, role-based access
  • Documentation: pipeline design docs, data dictionaries, and runbooks
  • Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to translate requirements into scalable pipelines
  • Optimize performance (partitioning, caching, Delta tables, spark configurations) and control costs

What Gets You the Job:


  • Bachelor's or Master s in Computer Science, Data Engineering, or related field


  • 4+ years of experience as a Data Engineer
  • Experience in Microsoft Fabric is highly preferred or experience with Synapse, Power BI or Data Analytics is acceptable
  • Must be proficient in Python / PySpark notebook
  • Strong data ingestion skills are required
  • Must have strong SQL skills
  • Experience with Alteryx / MapLogic
  • Experience ingesting data from REST APIs (SharePoint/Graph API, Outlook/Exchange, 3rd party APIs)
  • Demonstrated experience with Bronze/Silver/Gold data modeling, and star schema design
  • Experience with Delta Lake / data lake architectures
  • Familiarity with data quality frameworks and profiling
  • Experience with cloud data platforms (Azure preferred: Databricks, ADLS Gen2, Synapse)
  • Strong problem-solving, collaboration, and communication skills

Nice-to-Have


  • Databricks certification or Azure Data Engineer Associate
  • Experience with Graph API authentication (OAuth2), service principals
  • Data governance tools and data masking concepts
  • Experience with streaming/batch hybrid ETL patterns
  • Knowledge of healthcare/finance data domain or other regulated data

Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career!

Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.


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About Irvine Technology

Sourced by ZipRecruiter

Since 2000, our Women owned company has been delivering what organizations truly need diverse, talented professionals who will take their business to new heights. ITC serves our clients and elevates our candidates through a distinct and unified team together we achieve unrivaled goals and live life to the fullest. With a proven record of creating a strong pipeline of talented candidates, Our team uplifts confident and capable Technology Specialists from one of a kind backgrounds for contract and full time opportunities across the nation.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

2000

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