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Geospatial Data Engineer Remote Jobs in Temecula, CA

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 JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Temecula, CA

Geospatial Data Engineer Remote information

See Temecula, CA salary details

$44.2K

$128.9K

$176.3K

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

As of Aug 8, 2026, the average yearly pay for geospatial data engineer remote in Temecula, CA is $128,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 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 job categories do people searching Geospatial Data Engineer Remote jobs in Temecula, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Temecula, CA are:
What cities near Temecula, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Temecula, CA with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you

Senior Data Engineer

NTENT

Carlsbad, CA • On-site, Remote

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Senior Data Engineer
Position: Full time
Location: Carlsbad office (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company’s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.
We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.

About the Opportunity:
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.
We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem.
Duties and Responsibilities:
  • Design, implement, and support ETL data pipelines in a big data environment
  • Maintain and improve existing data logging, pipeline and analytics platform
  • Architect and design next generation data platform with appropriate new technologies
  • Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs
  • Design, implement, and support a SQL based data warehouse
  • Ensure reliability and accuracy of data logging and processing for all NTENT products
Skills and Qualifications:
  • Graduate degree in Computer Science or a similar field, or equivalent work experience
  • 3+ years working in Data Engineering or Data Warehousing
  • Experience with T-SQL, specifically Microsoft SQL Server
  • Experience with Database design and schema definition
  • Experience with Hadoop ecosystem (Hive, Pig, Oozie)
  • Experience with Python
  • Experience with Data Visualization and Reporting platforms
The following experience is a plus:
  • Tableau
  • Kafka
  • Spark
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.

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