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Geospatial Data Science Jobs in Arizona (NOW HIRING)

Keylent Inc

Senior Java Developer

Phoenix, AZ

$60/hr

Develop robust, scalable, and efficient code to process geospatial data. Collaborate with cross ... Bachelors degree in Computer Science, Geospatial Sciences, or a related field is preferred.

CommonSpirit Health

Research Scientist I

Phoenix, AZ

Job Summary and Responsibilities The Barrow Neuro Analytics Center (BNAC) is a data science-focused ... Geospatial Required and analysis Specialized computer analysis program experience (Use of High ...

Kaav Inc.

Python Developer

Phoenix, AZ

$50 - $68.75/hr

... data validation, and geospatial enrichment. The refactored code should follow Python best practices ... Education a. Bachelor's degree in Computer Science, Geographic Information Systems, Software ...

Samprasoft

Python Developer

Phoenix, AZ

$50 - $68.75/hr

... data validation, and geospatial enrichment. The refactored code should follow Python best practices ... Bachelor's degree in Computer Science, Geographic Information Systems, Software Engineering, or a ...

Software Technology Inc

Python Developer

Phoenix, AZ

$50 - $68.75/hr

... data validation, and geospatial enrichment. The refactored code should follow Python best practices ... Bachelor's degree in Computer Science, Geographic Information Systems, Software Engineering, or a ...

Arizona 811

Data Analyst

Tempe, AZ · On-site

Bachelor's degree in mathematics, computer science, or statistics * Three (3) or more years of ... Experience with multiple database and geospatial applications, including PostgreSQL. * Demonstrated ...

Keylent Inc

SR DATA ENGINEER

Phoenix, AZ

$75/hr

Max rate $75 SR DATA ENGINEER with Java, Spark - Look for Core Java with SPARK Job summary Required ... in developing geospatial applications. * A degree in Computer Science, or a related field is ...

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Geospatial Data Science information

See Arizona salary details

$20.5K

$72.2K

$113.7K

How much do geospatial data science jobs pay per year?

As of Jun 2, 2026, the average yearly pay for geospatial data science in Arizona is $72,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $74,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the most commonly searched types of Geospatial Data Science jobs in Arizona? The most popular types of Geospatial Data Science jobs in Arizona are:
What are popular job titles related to Geospatial Data Science jobs in Arizona? For Geospatial Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in Arizona look for? The top searched job categories for Geospatial Data Science jobs in Arizona are:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Arizona as of May 2026, with employment types broken down into 32% Full Time, 55% Part Time, 11% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,216 per year, or $34.7 per hour.
Data Governance & Metadata

Data Governance & Metadata

SOS International LLC

Tucson, AZ • Remote

Other

Posted 5 days ago

Job description

Remote, Remote, USA

Full-time

Clearance Requirement: None

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

***** This position is contingent upon contract award *****

SOSi is seeking a Data Governance & Metadata Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with Data Catalog.

  • The contractor shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform.

  • The contractor shall implement and manage data governance workflows, ensuring integration with OpenLineage, Unity Catalog, and GIS metadata standards.

  • The contractor shall submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements.

Qualifications

  • Bachelor’s degree in Data Science, Information Management, GIS, or a related field, or five (5) years of equivalent experience in data governance, metadata management, or geospatial data integration.

  • Knowledge and capability to develop, implement, and maintain data governance frameworks, ensuring metadata consistency, lineage tracking, and interoperability between Data Lake, ESRI Kubernetes environments, and external data sources.

  • Personnel must be proficient in metadata management, data lineage tracking (Unity Catalog/OpenLineage), schema alignment, and governance best practices.

  • Expertise in geospatial data standards, data cataloging, and compliance with DoD metadata policies is required.

  • Demonstrated experience in: Implementing metadata governance frameworks for structured and unstructured data in cloud-based environments.

  • Tracking data lineage and ensuring metadata synchronization across a Data Catalog, ESRI Kubernetes, and enterprise metadata repositories.

  • Utilizing OpenLineage, Apache Atlas, or similar tools for metadata and data lineage management.

  • Enforcing compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets

Preferred Qualifications:

Certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or ESRI Geospatial Data Management Certification.

Additional Information

Working Conditions

  • Remote. Offsite.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.

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