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Machine Learning Geospatial Jobs in Dallas, TX (NOW HIRING)

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How much do machine learning geospatial jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning geospatial in Dallas, TX is $28.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $33.51 per hour, depending on experience, location, and employer.

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.

What are popular job titles related to Machine Learning Geospatial jobs in Dallas, TX?

For Machine Learning Geospatial jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Geospatial jobs in Dallas, TX look for?

The top searched job categories for Machine Learning Geospatial jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Machine Learning Geospatial jobs?

Cities near Dallas, TX with the most Machine Learning Geospatial job openings:

Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,974 per year, or $28.8 per hour.

Geomatics Field Engineer

McCarthy Building Companies, Inc.

Dallas, TX

Full-time

Re-posted 17 days ago

McCarthy Building Companies rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

Job description

POSITION SUMMARY
The Geomatics Field Engineer is responsible for the execution of all field survey related activities on assigned projects including but not limited to establishing and maintaining project control, topographic data collection, construction layout (staking), as-built documentation, equipment calibration, machine control calibrations & tech support, GIS, utility locating, and drone flight planning & operations. In addition to traditional survey means and methods the Geomatics Field Engineer will be responsible for all flight operations and necessary means of aerial data collection. The Geomatics Field Engineer will report to the jobsite for the projects they are assigned and integrate with the operational management of the project with a focus on cost and schedule enhancement, Quality, adherence to design intent and collaboration with the design team. The Geomatics Field Engineer will directly report to and take direction from their respective Geomatics Manager from whom they will receive operational support, direction on means and methods, and learning and career development. The Geomatics Field Engineer is responsible for ensuring the accuracy and quality of surveyed data and laid out or constructed components and instrumental to overall success of the projects they support.

RESPONSIBILITIES
 
Safety & Quality
  • Ensure adherence to all safety best practices and McCarthy’s Safety Guidelines
  • Adhere to all QA/QC processes and procedures to ensure the accuracy and quality of all deliverables and services provided.
Operations
  • Utilize GNSS Equipment and survey best practices to provide Data Collection, Layout, As-Built and Machine Control Calibration support for all assigned projects
  • Perform site calibration and maintain project control network
  • Work with Pile Operators and Supervisors to provide technical support and ensure proper calibration of all pile driving equipment
  • Coordinate with Operations and Design teams to ensure adherence to design intent
  • Provide Survey Data collection to support the design team with critical site topographic and planimetric survey data using traditional and aerial survey means
  • Document Existing and As-Built site conditions to support grading optimization and development of Pile Design.
  • Pilot unmanned aerial vehicles (UAV) equipped with LiDAR, photogrammetry, IR, and multispectral sensors in support of project deliverables
  • Utilize utility locate equipment to mark out underground utilities and support the utility avoidance program
  • Maintain Civil base files and ensure site layout and machine control files align with design documents
  • Maintain Electrical AsBuilt CAD files and mark out utilities in response to Dig Tickets per our Critical Work Environment policy.
  • Support the GIS program with quality survey data and as an onsite subject matter expert
  • Participation in regularly scheduled Project and Design team meetings throughout the project lifecycle to support design development and construction operations
  • Support the overall site-specific quality program with accurately surveyed data
  • Work with Geospatial management and leadership staff to continuously improve project workflows and field procedures
  • Participation in technical training and development opportunities
QUALIFICATIONS
  • Minimum of 2 Years of Geodetic Survey experience utilizing GNSS equipment.
  • Experienced remote pilot in possession of FAA part 107 Certificate 
  • Experienced in Autodesk Civil 3D and Trimble Business Center (Preferred)  
  • Strong ability to Communicate and Integrate with Project Teams 
  • Developmentally minded and focused on continuous improvement 
  • Knowledgeable in aspects of Design and Construction
McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.
 
NOTICE TO EXTERNAL SEARCH FIRMS: McCarthy’s Talent Acquisition Team is the only authorized representative permitted to engage with external search firms, staffing agencies, or other third-party recruiting partners. McCarthy maintains an Approved Agency List for recruiting partners, which is reviewed and updated annually.
McCarthy will only consider submissions from agencies with a signed fee agreement in place for the current year. McCarthy does not accept unsolicited resumes, candidate submissions, or referrals from agencies that do not meet these requirements.
If a candidate is submitted without an active agreement, McCarthy will have no obligation to pay any fees and reserves the right to contact, engage, interview, or hire such candidate(s) without any financial or other responsibility to the submitting agency. Unsolicited resumes, including those sent directly to hiring managers or other employees, will be considered the property of McCarthy.

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About McCarthy Building

Sourced by ZipRecruiter

McCarthy Building, headquartered in Saint Louis, MO, US, is a leading construction company primarily offering general contracting, design-build and construction management services throughout the United States. Its prominent industry presence can be explored in detail on its official website, mccarthy.com. Founded in 1864, the company has built a robust legacy marked by significant contributions to the U.S. construction industry. McCarthy Building engages a broad range of sectors, including healthcare, education, commercial, renewable energy, and advanced technology.

Industry

Construction

Company size

1,001 - 5,000 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1864

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