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Contract Geospatial Data Engineer Jobs in California

Pano

Geospatial Data Engineer

San Francisco, CA · On-site

$111K - $144K/yr

Learn more at The Role As a Geospatial Data Engineer on the Geospatial Analytics team, you will design, build, and maintain the data infrastructure that powers Pano AI's geospatial analytics ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133.50K - $160.30K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133.50K - $160.30K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133.50K - $160.30K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Cinder LLC

AV Safety Data Engineer

Foster City, CA · On-site

$90/hr

Title: AV Safety Data Engineer Pay Rate: $90/hr + DOE Location: Foster City, CA / Onsite Type ... Experience with geospatial data analysis * Experience with business intelligence tools such as ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123.20K - $162.50K/yr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126.90K - $152.40K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

Koniag, Inc.

Navy SEPASS Data Engineer

Monterey, CA · On-site

$185K - $195K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126.90K - $152.40K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$122.90K - $147.60K/yr

... administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software ... This document does not create an employment contract, implied or otherwise, other than an "at-will ...

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Contract Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a Contract Geospatial Data Engineer, and why are they important?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What are some common challenges faced by Contract Geospatial Data Engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

What are Contract Geospatial Data Engineers?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What is the difference between Contract Geospatial Data Engineer vs GIS Analyst?

AspectContract Geospatial Data EngineerGIS 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 EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

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 Contract Geospatial Data Engineer jobs in California? For Contract Geospatial Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Geospatial Data Engineer jobs in California look for? The top searched job categories for Contract Geospatial Data Engineer jobs in California are:
What cities in California are hiring for Contract Geospatial Data Engineer jobs? Cities in California with the most Contract Geospatial Data Engineer job openings:
Contract Geospatial Data Engineer jobs near you
Infographic showing various Contract Geospatial Data Engineer job openings in California as of May 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 84% Physical, and 16% Remote job distribution.
Geospatial Data Engineer

Geospatial Data Engineer

Pano

San Francisco, CA • On-site

$111K - $144K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT
Who we are
The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires-with longer fire seasons, dryer fuels, and faster winds-new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond-preventing small flare-ups from becoming devastating infernos.
About Pano: We are a 175+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely-with the right equipment, timely information, and enhanced coordination-so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.
Pano AI has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023, and as one of the Top 50 Most Innovative Companies of 2026-ranking #1 in the Sustainability category. The company was also named to TIME's list of the 100 Most Influential Companies of 2025 and identified by MIT Technology Review as one of the top 15 climate tech companies to watch in 2024. Pano AI has been featured in leading publications, including The Wall Street Journal, Bloomberg, and CNBC.
The company serves dozens of government and enterprise customers across 16 U.S. states, five Australian states, and British Columbia, Canada, and currently monitors more than 50 million acres of land worldwide. It has raised $89 million in venture capital from investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/.
The Role
As a Geospatial Data Engineer on the Geospatial Analytics team, you will design, build, and maintain the data infrastructure that powers Pano AI's geospatial analytics workflows-from ingestion pipelines and spatial databases to automated processing systems and internal tooling. This role works closely with geospatial data analysts, data scientists, and cross-functional partners in Sales, Operations, Product, and Engineering to ensure that spatial data is reliable, scalable, and readily accessible. An ideal candidate brings 2-4 years of experience in data or software engineering, solid command of Python and SQL, and hands-on familiarity with geospatial data formats and spatial databases. You will contribute to the full data lifecycle, writing clean and well-tested code, participating in code reviews, and helping establish engineering standards on a growing team.
What you'll do
  • Design, build, and maintain scalable data pipelines that ingest, transform, and load geospatial datasets to support efficient and scalable geospatial analytics
  • Develop and optimize PostGIS and PostgreSQL database schemas to support geospatial analytics, viewshed computations, and site selection workflows
  • Write and maintain Python-based automation scripts and geospatial processing tools, following software engineering best practices including code reviews, pull requests, and version control with Git/GitHub
  • Collaborate with geospatial data analysts and scientists to understand data requirements and translate them into reliable, well-documented engineering solutions
  • Monitor and maintain data quality, pipeline reliability, and system performance for production geospatial data products
  • Support integration of geospatial data infrastructure with internal dashboards, APIs, and product engineering systems
  • Support analytics workflows as needed
  • Contribute to special projects and cross-functional initiatives as the team's data infrastructure needs evolve

What you'll bring
  • Bachelor's degree in Computer Science, Engineering, Geography, Statistics, Math, or a related field
  • 2-4 years of experience in data engineering, software engineering, or a closely related role
  • Proficiency in Python, including experience writing modular, tested, and maintainable code using geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL
  • Solid SQL skills and hands-on experience with PostgreSQL and PostGIS for querying and managing spatial data
  • Fluency with Git/GitHub workflows, including branching strategies, pull requests, and code reviews
  • Working knowledge of geospatial data formats (GeoJSON, GeoTIFF, Shapefile, etc.) and coordinate reference systems
  • Experience building or maintaining ETL or data pipeline workflows in a production environment
  • Strong communication skills and ability to work collaboratively across technical and non-technical stakeholders
  • Experience with ArcGIS Pro or QGIS highly preferred

Nice to have
  • Experience with cloud-based geospatial platforms or data warehouses (e.g., BigQuery, Snowflake, AWS, or GCP)
  • Experience with Salesforce integrations
  • Experience with ArcGIS Online and ArcGIS Enterprise
  • Experience with workflow orchestration tools such as Temporal, Airflow, Prefect, or similar

Final compensation for full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

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