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Geospatial Data Engineer Remote Jobs in Dublin, CA

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote About the Role Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the ...

Bright Vision Technologies

Big Data Engineer

Sunnyvale, CA · Remote

$90K - $110K/yr

Big Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This ...

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

... web developers and graphic designers. We are looking for a spatial thinker with a passion for ... working with geospatial and/or remote sensing data * Bachelor's degree in a relevant field

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

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

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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 ...

Horizontal Talent

Data Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Join a dynamic Supply Chain Data & AI team as a Data Engineer focused on building scalable data ... This remote California opportunity offers the chance to work on cloud-native solutions, collaborate ...

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 ...

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

Geospatial Data Engineer Remote information

See Dublin, CA salary details

$50.1K

$146.1K

$199.9K

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

As of Aug 2, 2026, the average yearly pay for geospatial data engineer remote in Dublin, CA is $146,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,900.00 and $154,900.00 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 Dublin, CA? For Geospatial Data Engineer Remote jobs in Dublin, CA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Dublin, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Dublin, CA are:
What cities near Dublin, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Dublin, CA with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you

Data Engineer (Remote)

Lancesoft

San Francisco, CA • On-site, Remote

$40 - $41/hr

Temporary

Posted 5 days ago

Job description


Description:
Lead Data Engineer -Data & AI, Supply Chain
Fully Remote
About the Role
Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.
Key Responsibilities
  • Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
  • Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Design robust and scalable data models that support analytical and operational reporting requirements.
  • Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
  • Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
  • Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.

Required Technical Skills
  • 8+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expert-level proficiency in:
oDataproc
oBigQuery
oSQL
odbt (Data Build Tool)
  • Strong understanding of modern ETL/ELT architecture and large-scale data processing.
  • Strong knowledge of data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
  • Experience building scalable and maintainable cloud-native data pipelines.
  • Experience with Git, CI/CD pipelines, and engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.
Preferred Technical Skills
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating enterprise data platforms with Apache Kafka or other streaming technologies.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and utility development.
  • Familiarity with data quality, metadata management, and data governance best practices.

Domain Experience (Highly Desirable)
Candidates with experience in one or more of the following areas will be strongly preferred:
  • Retail industry (Apparel)
  • Supply Chain data platforms
  • Transportation and Logistics
  • Warehouse Management Systems (WMS)
  • Distribution Center operations

Meet Your Recruiter
Vishwas BM
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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