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Geospatial Data Engineer Remote Jobs in Windsor, CA

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role As a Data Engineer you will handle everything from data architecture and modeling to data ...

Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

Senior Software Engineer (backend)

Bodega Bay, CA · Remote

$145K - $191K/yr

Comfortable modeling data in both relational and non-relational databases, and know when to use ... Experience working with remote teams on complex software experiences * Experience with JavaScript ...

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

Design and optimize PostgreSQL schemas , including hierarchical data models * Work with AWS cloud ... remote management, and operational insights. You'll join a small, high-impact team (3-4 engineers ...

Bay Area California (Remote) Duration : 12+ Months skills: * At least 4 years of experience in ... Ability to validate alignment of Data, Integration and test requirements * Strong Understanding of ...

Senior Salesforce Engineer

Bodega Bay, CA · Remote

$128K - $157K/yr

Job Role Senior Salesforce Engineer Location Remote Duration 4+ Months C2H Interview type Video ... Data Cloud experience is nice to have but not required. * This team highly values SFDC ...

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Geospatial Data Engineer Remote information

See Windsor, CA salary details

$48.9K

$142.4K

$194.9K

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 Windsor, CA is $142,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $151,000.00 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 Windsor, CA? For Geospatial Data Engineer Remote jobs in Windsor, CA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Windsor, CA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Windsor, CA are:
What cities near Windsor, CA are hiring for Geospatial Data Engineer Remote jobs? Cities near Windsor, CA with the most Geospatial Data Engineer Remote job openings:

Senior Data Engineer, Risk

Block

Bodega Bay, CA • On-site, Remote

$125K - $170K/yr

Full-time

Re-posted 6 days ago


Block rating

7.9

Company rating: 7.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

9th of 21 rated payment service providers


Job description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance and risk teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support compliance or risk product data engineering teams.

The Compliance Data Engineering team at Block supports the detection  and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform.

The Risk Product Data Engineering team at Block builds reliable data foundations that help protect customers across Cash App, Square, and Afterpay. We partner with product, engineering, compliance, and legal teams to support risk detection, reporting, instrumentation, and ML-ready datasets across critical domains including identity, account access, eligibility, controls, and disputes.

You Will
  • Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.
  • Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation.
  • Build monitoring to assess data quality and lineage and on top build AI agents for false positive reduction and automated resolution. 
  • Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.
  • Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions.
You Have
  • A minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience.
  • High proficiency in SQL, Python, and Dbt
  • Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation
  • Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as 
  • Experience in schema design and dimensional data modeling
  • Experience with setting up data quality and data lineage monitoring
  • Experience with data driven decisions through AI and agentic automation
Technologies We Use and Teach
  • Snowflake
  • Databricks
  • Dbt
  • Github
  • Airflow
  • Prefect
  • Omni
  • Terraform

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.


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