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Contract Geospatial Data Engineer Jobs (NOW HIRING)

Data Layer Engineer

Tampa, FL ยท On-site

$108.20K - $129.90K/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 ...

New

There are recurring opportunities on this team for Analytic / BigData Software Developers, Full ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

GCP Data Engineer

Austin, TX ยท On-site +1

$113.50K - $136.30K/yr

Serve as a senior geospatial data analyst responsible for designing, implementing, and optimizing data pipelines on cloud platforms to support map based analytics and decision making. * Apply ...

Dewberry's Geospatial and Technology Services creates geospatial and analytical solutions for real-world engineering, environmental, and community problems. Our analysts perform a variety of data ...

New

Data Modeling & Databases - Experience modeling geospatial data and working with relational ... Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization ...

Opportunities are contingent upon task order awards and funding under existing contracts. Location ... Collaborate with data, analytics, and engineering teams to align geospatial capabilities with ...

Data Modeling & Databases - Experience modeling geospatial data and working with relational ... Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization ...

Data Engineer

Jacksonville, FL ยท On-site +1

$106.10K - $127.40K/yr

Data Engineer We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Manage large-scale geospatial and temporal datasets stored in AWS S3. * Collaborate with data ...

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Contract Geospatial Data Engineer information

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$46

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How much do contract geospatial data engineer jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for contract geospatial data engineer in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

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

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What are some common challenges faced by Contract Geospatial Data Engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

What are Contract Geospatial Data Engineers?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

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

AspectContract Geospatial Data EngineerGIS 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 EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

More about Contract Geospatial Data Engineer jobs
What cities are hiring for Contract Geospatial Data Engineer jobs? Cities with the most Contract 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 Contract Geospatial Data Engineer jobs? States with the most job openings for Contract Geospatial Data Engineer jobs include:
What job categories do people searching Contract Geospatial Data Engineer jobs look for? The top searched job categories for Contract Geospatial Data Engineer jobs are:
Infographic showing various Contract Geospatial Data Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,989 per year, or $46.6 per hour.
Data Layer Engineer

Data Layer Engineer

Quiet Professionals LLC

Tampa, FL โ€ข On-site

$108.20K - $129.90K/yr

Full-time

Posted yesterday


Job description

Position Summary

The Data Layer Engineer supports mission-critical objectives under the referenced work order by designing, implementing, and optimizing data transformation workflows for geospatial and non-geospatial datasets. This role manages ETL processes, data structuring, and schema management with expertise in ESRI geospatial data layers and cloud-based geospatial services.

This future opportunity is contingent upon award.

Job Description

  • The Data Layer Engineer is responsible for designing and optimizing ETL processes, data structuring, and schema management.
  • 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 cataloging solutions.
  • The role includes ensuring compliance with DoD and IC data security policies.

Required Qualifications and Experience

The contractor shall provide personnel who meet one of the following requirements:

  • Bachelor's degree in Data Management, Information Science, Computer Science, or a related field; or
  • A minimum of five (5) years of professional experience in data governance.

Candidates must have demonstrated experience in the following areas:

  • Developing and managing data governance frameworks.
  • Implementing metadata and data cataloging solutions.
  • Ensuring compliance with DoD and IC data security policies.
  • Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.
  • Managing ESRI geospatial data layers and Kubernetes-hosted geospatial applications.

Required Skills and Competencies

  • Expertise in ETL processes, data structuring, and schema management.
  • Working knowledge of PostgreSQL/PostGIS, SQL Server, NoSQL databases.
  • Proficiency in cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage).
  • Strong understanding of Databricks Unity Catalog, Collibra, Alation, AWS Glue, and Azure Purview.
  • Ability to manage ESRI geospatial data layers and cloud-based geospatial services.

Education

  • Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
  • Certified Data Management Professional (CDMP) (Preferred, Not Required)
  • DAMA Certified Data Governance Professional (DGSP) (Preferred, Not Required)
  • Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required)

Clearance Requirement

An active TS/SCI security clearance is required for on-site duty location.