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Geospatial Data Engineer Remote Jobs in California

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $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 ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 3-6 years of experience as a Data Engineer. * Hands-on experience with ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $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 ...

Maxana

Data Engineer

Los Angeles, CA · On-site +1

$130K - $170K/yr

Vision insurance Maxana is looking for a skilled data engineer with extensive experience in Magento ... This is a remote position. Compensation: $130,000.00 - $170,000.00 per year Maxana has been ...

AgileEngine

Data Engineer ID52278

Downey, CA · On-site +1

$119K - $143K/yr

ABOUT THE ROLE As a Data Engineer , you will design and scale high-performance ELT pipelines that ... Flexible schedule with remote and office options.

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/yr

Job Brief: The Data Engineer III will lead the development and maintenance of our data ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

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All JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in California

Geospatial Data Engineer Remote information

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 California? The most popular types of Geospatial Data Engineer jobs in California are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in California? For Geospatial Data Engineer Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in California look for? The top searched job categories for Geospatial Data Engineer Remote jobs in California are:
What cities in California are hiring for Geospatial Data Engineer Remote jobs? Cities in California 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 California as of June 2026, with employment types broken down into 14% Internship, 28% As Needed, 29% Full Time, and 29% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Data Engineer

Lever Demo 2

San Francisco, CA • Remote

$134K - $162K/yr

Other

Posted 22 days ago

Job description

Welcome to the Demo Job Listing for Lever! This is a fictional job created solely for demonstration purposes and is not an actual open position. We've crafted this listing to showcase the functionality of our ATS platform, including job descriptions, application processes, and more.

While you can explore the application process and features here, please note that applications submitted to this job will not be reviewed or responded to as it's for demonstration only.

Why now?
We've always been heavy data users, for product, marketing and growth.

From self-serve solution, we quickly shifted to more advanced systems in which we replicate all interesting data to a warehouse and add BI tools for reporting and querying on top of it.

We're now reaching a limit: we have needs on all front, and can't maintain all our analytics properly. We need dedicated expertise to own this part, manage our data pipeline and tooling, but also coach the team on data to make it use the right way.

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 BI tools and setup.
Help product track the features usage and user behaviours. Help them shape the roadmap and next features accordingly.
Monitor and assess marketing inbound efforts (SEO, natural & paid search, content)
Help growth prioritize and measure the impact of its experiments
Maintain core reports and dashboard for all teams
Coach all team to properly use data in their job

Who will I be working with?
This is a true core role for the team as it comes in support of all its parts:
@mike VP product of Slite
@adrien growth engineer
@laure marketing
@chris CEO

What do I need?
Why now?
We've always been heavy data users, for product, marketing and growth.

From self-serve solution, we quickly shifted to more advanced systems in which we replicate all interesting data to a warehouse and add BI tools for reporting and querying on top of it.

We're now reaching a limit: we have needs on all front, and can't maintain all our analytics properly. We need dedicated expertise to own this part, manage our data pipeline and tooling, but also coach the team on data to make it use the right way.

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 BI tools and setup.
Help product track the features usage and user behaviours. Help them shape the roadmap and next features accordingly.
Monitor and assess marketing inbound efforts (SEO, natural & paid search, content)
Help growth prioritize and measure the impact of its experiments
Maintain core reports and dashboard for all teams
Coach all team to properly use data in their job

Who will I be working with?
This is a true core role for the team as it comes in support of all its parts:
@mike VP product of Slite
@adrien growth engineer
@laure marketing
@chris CEO

What do I need?
Strong analytical skills
SQL proficiency
Great communication, especially written communication
Structured mindset
Data tooling experience
Javascript and Git minimal skillset
extra little plus
Extra JS and node expertise
AI skills: understanding and ability to work with ML models and foresee the potential it could unlock for Slite would be a huge added value.
Past remote experience
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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