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Geospatial Data Engineer Remote Jobs in Berkeley, CA

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are inviting you to join our small, fully remote team of developers and operators helping make ...

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 ...

Imply

Staff Software Engineer (Remote)

Burlingame, CA · Remote

$195K - $230K/yr

Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing ... engineering, and cloud architecture. Must be comfortable working in a high performance remote-first ...

TechData Service Company LLC

Be Seen First

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 ...

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

Geospatial Data Engineer Remote information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

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

As of Aug 7, 2026, the average yearly pay for geospatial data engineer remote in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 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 Berkeley, CA? For Geospatial Data Engineer Remote jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Berkeley, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Berkeley, CA with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you

Data Engineer AI & Supply Chain : 26-02169

Akraya Inc.

San Francisco, CA • On-site, Remote

$38 - $41/hr

Temporary

Posted 9 days ago

Job description


Primary Skills: Google Cloud Platform (GCP) Data Engineering (Expert), BigQuery, Dataproc & dbt (Advanced), ETL/ELT Pipeline Development (Expert), SQL & Data Modeling (Advanced), Supply Chain Data Engineering (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: San Francisco, CA Remote (PST Time Zone)
Pay Range: $38 - $41 on W2
Job Summary:
We are seeking a skilled Data Engineer - Data & AI, Supply Chain to join the Supply Chain Data & AI organization. This role focuses on designing, developing, and maintaining scalable cloud-native data pipelines and data products on Google Cloud Platform (GCP) that power enterprise analytics and AI initiatives across Sourcing, Transportation, and Warehouse Management (WMS). The ideal candidate has strong hands-on experience with BigQuery, Dataproc, SQL, and dbt, along with expertise in building modern ETL/ELT solutions and scalable data platforms.
Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt.
  • Design and maintain high-quality data models supporting enterprise reporting, analytics, and AI use cases.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Collaborate with Product Managers, Business Analysts, Data Architects, Solution Architects, and engineering teams to translate business requirements into scalable technical solutions.
  • Develop reusable data transformation frameworks while adhering to engineering standards and best practices.
  • Optimize data processing performance, scalability, reliability, and cloud cost efficiency.
  • Perform unit testing, data validation, production support, and troubleshooting to ensure high-quality data delivery.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, code reviews, and technical discussions.
  • Create and maintain technical documentation, data flow diagrams, and implementation artifacts.
Must-have Skills:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • 4+ years of Data Engineering experience developing enterprise data solutions.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expertise with BigQuery, Dataproc, SQL, and dbt (Data Build Tool).
  • Strong understanding of ETL/ELT architecture and large-scale data processing.
  • Experience with dimensional data modeling and analytical data warehouse concepts.
  • Experience building scalable cloud-native data pipelines.
  • Knowledge of Git, version control, and CI/CD best practices.
  • Strong analytical, troubleshooting, problem-solving, and communication skills.
  • Experience working in Agile development environments.
Nice-to-have Skills:
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating with Apache Kafka or other event-streaming platforms.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Experience supporting analytics, AI, or machine learning data platforms.
Preferred Qualifications:
  • Experience working within Retail, Apparel, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center Operations.
  • Experience delivering enterprise cloud data solutions using modern GCP technologies.
  • Strong understanding of scalable data architecture and cloud-native engineering best practices.
  • Self-motivated team player with excellent collaboration skills and a passion for building reliable, high-performance data solutions.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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