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Geospatial Data Engineer Remote Jobs in Concord, CA

Primary.Health

QA Engineer (Remote)

San Francisco, CA · Remote

... data between labs and state databases, easing the reporting process. JOB TITLE: QA Engineer JOB TYPE: Full-time LOCATION: Remote JOB SCOPE: As a Quality Engineer at Primary you will be responsible ...

TechData Service Company LLC

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Sr. Principal Network Engineer - Remote - BB341

Alameda, CA · Remote

$70 - $95/hr

Sr. Principal Network Engineer - Remote - BB341 BB341 12+ Months Remote (PST Hours) SUMMARY/JOB ... traces, flow data, routing state, device telemetry, and packet-level evidence to diagnose ...

New

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience as a Data Platform Engineer or ML/AI Engineer with significant handson work in Snowflake ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Concord, CA

Geospatial Data Engineer Remote information

See Concord, CA salary details

$48.8K

$142.3K

$194.8K

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 Concord, CA is $142,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $150,900.00 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 popular job titles related to Geospatial Data Engineer Remote jobs in Concord, CA? For Geospatial Data Engineer Remote jobs in Concord, CA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Concord, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Concord, CA are:
What cities near Concord, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Concord, CA 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 Concord, CA as of June 2026, with employment types broken down into 75% Full Time, 18% Part Time, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $142,334 per year, or $68.4 per hour.

Java Back end engineer - Remote

Lorven Technologies

San Francisco, CA • On-site, Remote

$142K - $184K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

I hope you are doing well,
Please share your updated profile if you are interested in the below role.
Our client seeks an Java Back End Engineer for a 12 Months project in Remote .Below is the detailed requirement
Job Title: Java Back End Engineer
Work location : Remote
Duration: 12 Months
Job Description:
  • Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 7+ Minimum Experience

Required Experience
  • 7+ years of hands-on experience in a professional software engineering role

Technical Expertise
Programming & Engineering Practices
  • Proficiency in Java, Scala, and Python (at least one required; others preferred)
  • Strong experience with test-driven development, including unit and integration testing
  • Experience with code deployments and CI/CD pipelines (e.g., Spinnaker or similar tools)

Backend Systems & Data Stores
  • Proficiency with databases and storage technologies such as:
    • TiDB, RocksDB, MySQL
    • Redis, Memcached
    • Key-value stores

APIs & Service Development
  • Solid understanding of Thrift and Protobuf schemas
  • Experience building, maintaining, and evolving APIs
  • Experience with web server and backend service development

Performance & Reliability
  • Working knowledge of latency, throughput, and system performance
  • Experience with load balancing and load testing
  • Hands-on experience running performance tests and optimizing code to improve efficiency and scalability

Nice to Have
  • Experience with data-centric application development
  • Experience working with SQL, Hive, Presto/Trino, and Spark
  • Familiarity with AI coding assistants such as Claude Code and GitHub Copilot

Example Projects & Areas of Impact
Pipeline Migration & Offline Systems
  • Offline counterfactual scoring - support pipeline migration
  • Search simulator - support pipeline migration
  • Offline interaction detection - support pipeline migration

Search, Personalization & AI Systems
  • Kendall:
    • Incorporate user-facing metrics and features for new products (e.g., Hawaii tips, filters, personalization, AI Search)
    • Support evaluation performance optimization
  • Debug tooling for personalization and AI Search, including ranking and explanation systems

Monitoring, Metrics & Developer Experience
  • Holdout:
    • Implement comprehensive monitoring for traffic and models
  • Side-by-side (SxS) metrics cleanup and UX improvements to improve developer velocity
    • Example: cleaning up messy p2 carousel metrics
    • Improving filter ranking visibility (amenity IDs vs amenity names)
  • Set up alerting for new and existing applications using Grafana and PagerDuty

Platform Health & Maintenance
  • Cleanup of:
    • Old and deprecated code
    • Retired experiments
    • Deprecated trebuchets and legacy components
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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