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Geospatial Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Contemporaries

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Data Engineer

Durham, NC · On-site

$57 - $63/hr

... Data Engineer to support environmental health and extreme weather research initiatives. This ... Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other ...

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public ...

Data Bridge Consultants

BUSINESS ANALYST II

Cary, NC · On-site

Bachelor's level degree in Business Administration, Computer Science, Engineering or relevant field ... geospatial data, location-based use cases and map-based capabilities. * Related education ...

Timmons Group, Inc.

Civil Project Engineer III

Raleigh, NC

$75K - $100K/yr

Supporting field inspections and data collection. * Collaborating with clients, internal teams, and ... geospatial technology, landscape architecture, and surveying services to a diverse client base. As ...

Timmons Group

Civil Project Engineer III

Raleigh, NC · On-site

$75K - $100K/yr

Supporting field inspections and data collection. * Collaborating with clients, internal teams, and ... geospatial technology, landscape architecture, and surveying services to a diverse client base. As ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Jobs in Raleigh, NC

Geospatial Data Engineer information

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$5

$45

$87

How much do geospatial data engineer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for geospatial data engineer in Raleigh, NC is $45.33, according to ZipRecruiter salary data. Most workers in this role earn between $34.81 and $56.06 per hour, depending on experience, location, and employer.

What are some common challenges faced by Geospatial Data Engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

What are the key skills and qualifications needed to thrive in the Geospatial Data Engineer position, and why are they important?

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What is a Geospatial Data Engineer job?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

What are popular job titles related to Geospatial Data Engineer jobs in Raleigh, NC? For Geospatial Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Geospatial Data Engineer jobs in Raleigh, NC are:
Geospatial Data Engineer jobs near you
Infographic showing various Geospatial Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $94,282 per year, or $45.3 per hour.
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

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Job description

Contemporaries Inc. is supporting the National Institute of Environmental Health Sciences (NIEHS) in the recruitment of a Data Engineer to support environmental health and extreme weather research initiatives. This long-term contract opportunity offers remote work flexibility and will focus on developing and optimizing data infrastructure that supports scientific modeling, geospatial analytics, and computational research workflows.


Position Responsibilities:

  • Design and implement optimized database structures to support scientific modeling workflows.
  • Develop and maintain data schemas that ensure efficient querying and storage for large-scale scientific datasets.
  • Develop and enhance PTB, CHORDS, and HEW geospatial database management capabilities.
  • Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other environmental data standards.
  • Build, document, and maintain end-to-end model pipelines using reproducibility and version control standards.
  • Develop workflows utilizing R-based Targets and Python-based Snakemake frameworks.
  • Implement automated testing frameworks and validation protocols to ensure pipeline reliability and consistency.
  • Develop and test protocols for GPU-accelerated execution of R- and Python-based models.
  • Create documentation and best practices related to GPU resource allocation and performance monitoring.
  • Design, develop, and deploy Shiny applications for real-time data exploration and model output visualization.
  • Ensure visualization applications are user-friendly, performant, and integrated with existing data infrastructure.
  • Optimize R-based models through parallelization, vectorization, and algorithmic improvements.
  • Configure and optimize workflows within high-performance computing environments, including job scheduling and resource management.
  • Port performance-critical components to compiled languages such as C++ or Rust when appropriate.
  • Collaborate with scientific teams to provide technical guidance and support environmental health research initiatives.


Required Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field.
  • Minimum of three (3) years of professional experience in data engineering, software engineering, computational research support, or a related field.
  • Strong experience using the R programming language.
  • Experience designing and maintaining database structures supporting large-scale datasets.
  • Experience developing reproducible data pipelines and workflows.
  • Experience with shell scripting, including Bash.
  • Experience working in Linux-based computing environments.
  • Experience with batch job scripting and scheduling tools such as SLURM.
  • Experience developing interactive applications using Shiny.
  • Strong analytical, problem-solving, and technical communication skills.


Preferred Qualifications

  • Experience working with geospatial or environmental datasets.
  • Familiarity with geospatial data formats such as NetCDF, GeoTIFF, and HDF5.
  • Experience using Python for workflow development or automation.
  • Experience utilizing Snakemake, Targets, or similar pipeline orchestration frameworks.
  • Experience supporting high-performance computing environments and GPU-enabled workflows.
  • Experience optimizing code through parallelization, vectorization, or compiled languages such as C++ or Rust.
  • Experience supporting environmental health, climate, or extreme weather research initiatives.
  • Experience supporting NIH, HHS, or other federally funded scientific research programs.
  • Experience contributing to technical documentation, scientific publications, or collaborative research efforts.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.