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Geospatial Data Engineer Remote Jobs in Bellevue, WA

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

New

TEKsystems

Telemetry Data Engineer

Redmond, WA · On-site +1

$55 - $64/hr

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... This Telemetry Data Engineer will play a key role in building automated frameworks that validate ...

New

TEKsystems

Telemetry Data Engineer

Redmond, WA · On-site +1

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... This Telemetry Data Engineer will play a key role in building automated frameworks that validate ...

New

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

New

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

Bayer

Staff Engineer, Mobile Cross-platform

Seattle, WA · On-site +1

$130K - $180K/yr

Staff Engineer, Mobile Cross-platform Are you passionate about the mobile and cross platform ... geospatial data, precision agriculture, remote sensing, weather and or soil data. We are ...

New

SNC-Lavalin

Senior I&C Engineer Energy - Remote

Bothell, WA · On-site +1

$90K - $173K/yr

Overview We are seeking a Senior I&C Engineer - Remote. This remote position is based out of our ... We connect people, data and technology to transform the world's infrastructure and energy systems.

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Bellevue, WA

Geospatial Data Engineer Remote information

See Bellevue, WA salary details

$50.2K

$146.4K

$200.3K

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

As of Aug 14, 2026, the average yearly pay for geospatial data engineer remote in Bellevue, WA is $146,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,200.00 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 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 Bellevue, WA?

The most popular types of Geospatial Data Engineer jobs in Bellevue, WA are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Bellevue, WA?

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

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

The top searched job categories for Geospatial Data Engineer Remote jobs in Bellevue, WA are:

What cities near Bellevue, WA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Bellevue, WA with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Bellevue, WA as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,403 per year, or $70.4 per hour.

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 15 days ago

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.