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Geospatial Data Engineer Remote Jobs in Berkeley, CA

Shipt

Data Scientist

San Francisco, CA · On-site +1

In this role you will work with large-scale GPS traces, mapping data and geospatial datasets. You will collaborate with product ,managers, logistic operators and software engineers to turn models ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132.40K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134.90K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134.90K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are inviting you to join our small, fully remote team of developers and operators helping make ...

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Geospatial Data Engineer Remote information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

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 Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 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.

What are popular job titles related to Geospatial Data Engineer Remote jobs in Berkeley, CA? For Geospatial Data Engineer Remote jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Berkeley, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Berkeley, CA with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Staff Software Engineer - Data Infrastructure

Staff Software Engineer - Data Infrastructure

Array Labs

Redwood City, CA • On-site, Remote

Full-time

Posted 20 days ago

Job description

About Us
Array Labs builds advanced radar systems to help humanity understand and respond to changes across the physical world. 
 
We're launching a coordinated fleet of radar satellites to create a high-resolution 3D map of the Earth, updated in real time, enabling faster, smarter decision-making for government and commercial organizations supporting disaster response, infrastructure resilience, and mission-critical geopolitical intelligence.
 
We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness to power critical insights precisely where they're needed most.

About the Job
As Staff Software Engineer for data infrastructure, you will play a crucial role in designing and implementing the systems that process, analyze, and serve our satellite constellation’s data to end-users. You will have the opportunity to shape highly reliable backend infrastructure that handles petabytes of data annually. The position will work closely with frontend engineers, scientists, satellite systems engineers, and the product team.

As part of our quickly growing engineering team, you will play a critical role in the design of the world’s most advanced radar satellite constellation—one that will significantly improve humanity’s ability to rapidly and comprehensively understand our changing planet.

Responsibilities
  • Design and implement scalable distributed systems for processing and analyzing massive datasets from our satellite constellation.
  • Develop and optimize database schemas and storage solutions for managing petabyte-scale 3D geospatial data.
  • Architect and maintain high-performance APIs and services for efficient geospatial data streaming, querying, and analysis.
  • Lead the design and implementation of mechanisms for handling data ingestion, processing, and delivery pipelines.
  • Implement robust monitoring, logging, and operational systems to ensure reliability and performance of backend services.
  • Work with cross-functional teams to define technical requirements, architect solutions, and drive the backend roadmap in alignment with company goals.
Basic Qualifications
  • 6+ years of backend software engineering experience, including 4+ years building distributed systems and scalable APIs.
  • Strong proficiency in backend languages (e.g., Python, C++, Java), experience with cloud platforms (AWS, GCP, Azure, Terraform) and containerization technologies (e.g. Docker, Kubernetes).
  • Deep understanding of distributed systems and cloud-native development practices.
  • Experience with high-performance computing and optimization of large-scale data processing pipelines.
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience building geospatial databases, mapping technologies, and/or 3D visualizations, including relevant front-end techniques.
  • Familiarity with geospatial concepts, remote sensing, 3D data, and/or digital signal processing techniques (e.g. SAR and optical satellite imagery, geospatial databases, LiDAR point clouds).
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.