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Senior Geospatial Data Engineer Jobs (NOW HIRING)

Geospatial Data Analyst

Charleston, SC ยท On-site

$78K - $92K/yr

Lynker is seeking a sharp Geospatial Data Analyst to join our team. This role is contingent upon ... Work with office IT, Data Engineers (DBAs), and application developers in deploying new data ...

Data Layer Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services. * Engineers will implement data governance frameworks and metadata/data ...

Software Engineer, Geospatial Data

$117K - $140K/yr

The Software Engineer, Geospatial Data position focuses on developing scalable and secure applications that manage civic and geospatial data, collaborating with cross-functional teams to enhance ...

The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team's Engineering Manager. This team focuses on: * Tools used by our ...

Software Engineer, Geospatial Data

Austin, TX ยท On-site +1

$113K - $136K/yr

The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team's Engineering Manager. This team focuses on: * Tools used by our ...

Senior Geospatial Analyst

Bellevue, NE ยท On-site

$83K - $110K/yr

... data by external Combat Support Agencies. * Use ArcGIS Enterprise software to provide support to ... programming in Python scripting language * Shall individually demonstrate eight (8) years of ...

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 ...

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Senior Geospatial Data Engineer information

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$81K

$126.3K

$175K

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

As of Jul 20, 2026, the average yearly pay for senior geospatial data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

What are some typical challenges a Senior Geospatial Data Engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is a Senior Geospatial Data Engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.
What cities are hiring for Senior Geospatial Data Engineer jobs? Cities with the most Senior Geospatial Data Engineer job openings:
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
What states have the most Senior Geospatial Data Engineer jobs? States with the most job openings for Senior Geospatial Data Engineer jobs include:
Senior Geospatial Analyst (OBI Advanced Analytic Method Augmentation) - OBIQUA

Senior Geospatial Analyst (OBI Advanced Analytic Method Augmentation) - OBIQUA

CELESTAR

Reston, VA โ€ข On-site

$91K - $121K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Celestar Corporation is seeking a Senior Geospatial Analyst (OBI Advanced Analytic Method Augmentation) to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: TBD
ANTICIPATED START: TBD
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly
About Us:
Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
โ€ข The Senior Geospatial Analyst (OBI Advanced Analytic Method Augmentation), Conducts geospatial analysis of objects, networks, and persons using geospatial tools, methodologies, spatial-temporal data, imagery, social and physical sciences.
โ€ข Exploits imagery, vector, and other data types to include non-geospatially correlated data to locate, identify, and map objects in the spatial domain.
โ€ข Provides analysis on, but is not limited to, terrain mapping, route planning, and maritime geospatial activity.
โ€ข Possesses in depth knowledge and experience in conducting geospatial analysis of objects, networks, and persons using geospatial tools, methodologies, spatial-temporal data, imagery, social and physical sciences.
โ€ข Possesses in-depth knowledge of integrating geospatial data into all source products or analytical workflows, and at building and explaining geospatial models that leverage statistics, data science, and appropriate quantitative methods.
โ€ข Analyzes and characterizes spatial-temporal data using GIS such as ArcGIS or QGIS.
โ€ข Serves as the primary POC for geospatial expertise, ensuring tradecraft compliance and analytic standards as it relates to geospatial analysis on the contract.
โ€ข Provides advice on emerging geospatial methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in relation to geospatial analysis.
โ€ข Uses geospatial tools, enterprise capabilities, methodologies, spatial & temporal data, imagery, social and physical sciences to exploit imagery, vector, and other data types - including non-geospatially correlated data to identify and characterize evidence to support all-source analytic assessments.
โ€ข Employs new and improved methodologies or data sets to address information gaps and identify areas of information to help resolve complex analytic problems and to ensure solutions to analytical problems are rigorous and logical.
โ€ข Exploits an understanding of community data sets, agency programs, machine learning, data science, and related disciplines to collaborate on analytic projects or programs throughout the DoD, IC, CCMDs, Foreign Partners, Academia, and Industry.
โ€ข Provides deliverables that enhance analytic insight through the integration of new data sets and advanced analytic methods.
โ€ข Integrates geospatial data, techniques, and tools into workflows that respond to analytic requirements and client needs.
โ€ข Leverages cartographic principles in all map products to ensure ease of use and interpretation.
โ€ข Supports DIA efforts to vet or validate existing or emerging programs and capabilities.
โ€ข Develops or discovers algorithms and solutions to analyze, process, or visualize data that is larger than RAM or requires distributed processing.
Required qualifications/skills:
โ€ข Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years with a master's degree.
-OR-
โ€ข A minimum of 17 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years with a bachelor's degree.
โ€ข Possesses the GEOINT Professional Certification - Geospatial Analysis (GA-II) for all Geospatial Analysts at the senior and SME experience levels.
โ€ข Demonstrates ability to work independently and with minimal oversight.
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.