2

Geospatial Data Engineer Remote Jobs in Mesa, AZ

Data Engineer

Phoenix, AZ ยท Remote

$114.50K - $137.50K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Sr. Data Engineer (Hybrid or Remote)

Scottsdale, AZ ยท On-site +1

$165K - $190K/yr

Senior Data Engineer Location: Remote Salary: $165,000 - $190,000 depending on experience Reports To: CTO About Mashura Mashura is building modern software and connected device solutions that support ...

Big Data Engineer with Java

Phoenix, AZ ยท Remote

$55.25 - $73.25/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

Software Automation Engineer

Phoenix, AZ ยท Remote

$120K - $130K/yr

Automation Engineer (Remote) Location: Remote (Must reside in an approved state - see below ... Data & Integration: 3+ years of experience with SQL databases, NoSQL environments, and complex API ...

DATA ANALYST INTERMEDIATE

Phoenix, AZ ยท On-site +1

$65.97K - $120.53K/yr

All work, including remote work, should be performed within Arizona unless an exception is properly ... Apply statistical and geospatial analyses to measure outcomes including training completion ...

Senior Automation Engineer

Phoenix, AZ ยท Remote

$140K - $150K/yr

Remote (Must reside in an approved state - see below) Employment Type: Full-Time Compensation ... Use LLMs to summarize clinical notes or extract data from unstructured provider communications.

Senior, Data Engineer

Chandler, AZ ยท Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

AI Data Architect

Phoenix, AZ ยท On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Senior Java Engineer (Remote)

Phoenix, AZ ยท On-site +1

$119.40K - $157.10K/yr

Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

Senior Java Engineer (Remote)

Phoenix, AZ ยท Remote

$119.40K - $157.10K/yr

Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

next page

Showing results 1-20

Geospatial Data Engineer Remote information

See Mesa, AZ salary details

$44.1K

$128.7K

$176.1K

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

As of May 28, 2026, the average yearly pay for geospatial data engineer remote in Mesa, AZ is $128,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Mesa, AZ? For Geospatial Data Engineer Remote jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Mesa, AZ look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Geospatial Data Engineer Remote jobs? Cities near Mesa, AZ with the most Geospatial Data Engineer Remote job openings:
Data Engineer

Data Engineer

Judge Group, Inc.

Scottsdale, AZ โ€ข Remote

$60 - $70/hr

Other

Posted 13 days ago


Job description

Location: Scottsdale, AZ
Salary: $60.00 USD Hourly - $70.00 USD Hourly
Description: Title: Data Engineer
Location: Scottsdale, AZ
Remote: NO
Length: 6 months (potential contract to hire)
Contact: Brian Merin; ;
Summary:
Leads the design and implementation of data infrastructure, driving the evolution of the company's data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The role is a self-directed position that is comfortable supporting the data needs of multiple teams, systems and products. Provides mentorship and guidance on best practices and software design principles.
The following are essential accountabilities:
Leads the creation and maintenance of optimal data pipeline architecture, ensures scalable, efficient, and secure data processing.
Assembles large, complex data sets that meet functional and non-functional business requirements.
Mentors and guides Data Engineer team members, promoting best practices and design principles.
Engages in advanced data modeling and architecture tasks.
Champions performance tuning, troubleshooting, and optimization of datasets to ensure efficient data delivery.
Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc.
Designs and builds the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and big data technologies.
Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs.
Works with data and analytics experts to strive for greater functionality in our data systems.
Responsible for managing complex queries for reporting and the application consumption.
Troubleshoots and provides root cause analysis for database software and data integrity issues.
Ability to work off-hours with occasional evenings, weekends, and/or holidays.
Position Qualifications
Minimum Education: Bachelor's degree in computer science or related experience.
Preferred Education: Master's degree in computer science or related experience.
Minimum Experience: 7 years as a Data Engineer.
Preferred Experience: 8 years as a Data Engineer.
Required Certification/ License: N/A
Preferred Certification/ License: AWS Data Engineer OR AWS Solution Architect certifications, Snowflake certifications.
Required Skills, Knowledge, and Experience:
Deep understanding of SQL and experience with multiple relational and NoSQL database solutions.
Expertise in optimizing ETL/ELT pipelines and data modeling.
Experience with version control systems and CI/CD pipeline development.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience supporting and working with cross-functional teams in a dynamic environment.
Demonstrated ability to lead projects and mentor junior team members.
Strong analytic skills related to working with unstructured datasets.
Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with relational SQL (SQL Server) and NoSQL (Mongo) databases.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!