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Full Time Geospatial Data Engineer Jobs in California

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker ...

Koniag, Inc.

Navy SEPASS Data Engineer

Monterey, CA · On-site

$185K - $195K/yr

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

Voyager Technologies

Software Engineer

El Segundo, CA · On-site

... geospatial data, with an emphasis on SAR imagery • Build scalable data pipelines and backend ... developers and data scientists to translate research capabilities into production software • ...

The Marlin Alliance

Data Engineer

San Diego, CA

$122K - $147K/yr

Required Skills and Experience: * 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer ...

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$122K - $147K/yr

Required Skills and Experience: * 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer ...

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Full Time Geospatial Data Engineer information

How does a Full Time Geospatial Data Engineer typically collaborate with other teams within an organization?

A Full Time Geospatial Data Engineer frequently works alongside data scientists, software developers, and GIS analysts to design and implement geospatial data solutions. Collaboration often involves translating spatial data requirements into scalable data models, supporting the integration of geospatial data into larger analytics workflows, and troubleshooting data quality issues. Regular communication with cross-functional teams ensures that geospatial data products meet both technical standards and business needs. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth and exposure to diverse technologies.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These roles often require advanced skills, certifications, and extensive industry experience.

What is the difference between Full Time Geospatial Data Engineer vs GIS Analyst?

AspectFull Time Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentData development, database management, coding, cloud platformsMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, environmental organizations
Common Search & ComparisonYesYes

The Full Time Geospatial Data Engineer primarily focuses on building and maintaining geospatial data infrastructure, coding, and managing large datasets. In contrast, a GIS Analyst emphasizes spatial analysis, map creation, and interpreting geographic data for decision-making. Both roles require similar credentials and are used across various industries, but their core responsibilities differ, with engineers handling data systems and analysts focusing on analysis and visualization.

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

To thrive as a Full Time Geospatial Data Engineer, you need strong expertise in GIS concepts, spatial data analysis, programming (such as Python or SQL), and a relevant degree in geography, computer science, or a related field. Proficiency with GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and cloud platforms (such as AWS or Google Cloud) is typically required, along with certifications like GISP being advantageous. Excellent problem-solving, attention to detail, and effective communication skills set top candidates apart for collaborating across teams and presenting technical findings. These skills and qualities are crucial to ensure accurate spatial data processing, reliable solutions, and effective integration of geospatial insights into business or research objectives.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and certain engineering management roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require advanced certifications, leadership responsibilities, and expertise in areas like cloud computing, machine learning, or complex infrastructure.

What are Full Time Geospatial Data Engineers?

Full Time Geospatial Data Engineers are professionals who design, develop, and maintain systems that process and analyze geospatial data—information tied to geographic locations. They work with technologies like GIS (Geographic Information Systems), spatial databases, and programming languages to manage, transform, and visualize spatial datasets. Typically employed by organizations in fields such as environmental science, urban planning, transportation, and defense, these engineers ensure that geospatial data is accurate, accessible, and usable for decision-making. Their responsibilities often include building data pipelines, integrating various data sources, and collaborating with analysts, data scientists, and software developers.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, maintaining, and optimizing data infrastructure, and their expertise remains critical for managing complex data systems and integrating AI tools effectively.

Is geospatial engineering in demand?

Geospatial engineering is in high demand due to the increasing reliance on geographic information systems (GIS), remote sensing, and spatial data analysis across industries such as urban planning, environmental management, and transportation. Professionals with skills in GIS software, programming, and data management are sought after, and the field is expected to grow as data-driven decision-making becomes more prevalent.
What are the most commonly searched types of Geospatial Data Engineer jobs in California? The most popular types of Geospatial Data Engineer jobs in California are:
What are popular job titles related to Full Time Geospatial Data Engineer jobs in California? For Full Time Geospatial Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Geospatial Data Engineer jobs in California look for? The top searched job categories for Full Time Geospatial Data Engineer jobs in California are:
Full Time Geospatial Data Engineer jobs near you
Technical Consultant - Enterprise Data Engineer (Geospatial Data & Platforms)

Technical Consultant - Enterprise Data Engineer (Geospatial Data & Platforms)

Esri

Redlands, CA • On-site

$84K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Overview
Help power mission-critical systems through enterprise data. As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations.
You will work directly with customers to architect data solutions that integrate, manage, and optimize complex datasets across secure environments. From database design and performance tuning to high availability and data security, your work will ensure that critical geospatial information is delivered reliably to the people who depend on it most.
This role combines enterprise data engineering, geospatial technology, and mission impact, giving you the opportunity to solve complex data challenges in environments where performance, scale, and reliability are essential.
Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.
Responsibilities
  • Design and implement robust, scalable, and secure database solutions to support mission-critical applications
  • Collaborate with cross-functional teams during all phases of implementation including requirements, analysis, design, build/configuration, and deployment
  • Configure and maintain database environments, including backup, restore, high-availability, and disaster recovery strategies
  • Monitor and tune database performance using industry-standard tools and methodologies (such as query optimization, indexing strategies)
  • Implement data security measures, access controls, and compliance standards across environments
  • Automate routine database loading, maintenance, and monitoring tasks to improve efficiency
  • Provide technical guidance and best practices for database design, migration, and integration projects

Requirements
  • 5+ years of hands-on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA
  • Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security
  • Scripting skills in SQL and Python for automation and data workflows
  • Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing
  • Ability to clearly communicate complex technical concepts to technical peers and non-technical project managers or customers
  • US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
  • Bachelor's degree in computer science, mathematics, GIS, or related STEM field

Recommended Qualifications
  • Experience with ArcGIS Enterprise geodatabases
  • Knowledge of integrating GIS with other enterprise systems
  • CompTIA Security + certification
  • One or more industry-standard IT certifications (such as Esri, Microsoft, Amazon, PostgreSQL, Oracle)
  • Master`s degree in computer science, mathematics, GIS, or related STEM field

#LI-SS2
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$84,240-$142,480 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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