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Spatial Data Jobs in Texas (NOW HIRING)

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

... for spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation. • Expertise in Python for scripting, data processing, and pipeline automation. • A results ...

SouthWest Water Company

GIS Analyst

Sugar Land, TX

This role applies foundational GIS principles to data management, quality control, map production, and user support - helping ensure reliable spatial information is available across operations ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

Experience building or maintaining pipelines for spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation. * Expertise in Python for scripting, data processing ...

Purple Land Management

GIS Analyst

Dallas, TX · Hybrid

Experience managing spatial data, geodatabases, and GIS datasets * Strong organizational, communication, and problem-solving skills * Ability to work independently while contributing within a ...

Purple Land Management

GIS Analyst

Dallas, TX · Hybrid

Experience managing spatial data, geodatabases, and GIS datasets * Strong organizational, communication, and problem-solving skills * Ability to work independently while contributing within a ...

CoStar

Land.com - Senior Data Scientist

Austin, TX · On-site

Experience building statistical or econometric models in Python for real-world predictive applications Experience working with large geospatial datasets and spatial data concepts, including vector ...

Purple Land Management

GIS Analyst

Dallas, TX · On-site

Experience managing spatial data, geodatabases, and GIS datasets * Strong organizational, communication, and problem-solving skills * Ability to work independently while contributing within a ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

Experience building or maintaining pipelines for spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation. * Expertise in Python for scripting, data processing ...

Parsons

Sr. GIS Specialist, Airports

Austin, TX · On-site

$88K - $154K/yr

Experience managing spatial data, geodatabases, and map services * Strong analytical, problem-solving, and data visualization skills * Ability to communicate technical information clearly to non ...

Varsity Tutors

AP Human Geography Tutor

Dallas, TX · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

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All JobsSpatial Data JobsSpatial Data Jobs in Texas

Spatial Data information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do spatial data jobs pay per year?

As of Jul 6, 2026, the average yearly pay for spatial data in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Data Analyst, and why are they important?

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
What are the most commonly searched types of Spatial Data jobs in Texas? The most popular types of Spatial Data jobs in Texas are:
What are popular job titles related to Spatial Data jobs in Texas? For Spatial Data jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spatial Data jobs in Texas look for? The top searched job categories for Spatial Data jobs in Texas are:
Spatial Data jobs near you
Infographic showing various Spatial Data job openings in Texas as of June 2026, with employment types broken down into 7% As Needed, 41% Full Time, 9% Part Time, 5% Temporary, 33% Contract, and 5% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Software Engineer - Human Motion Data

Software Engineer - Human Motion Data

Apptronik

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Software Engineer - Human Motion Data will build crucial links between human data and reinforcement learning pipelines, architecting robust motion data pipelines and integrating diverse sources to generate accurate human motion trajectories.
Responsibilities:
• Design, build, and maintain end-to-end motion data pipelines, integrating diverse sources such as motion capture (mocap), teleoperation, and synthetic generation using diffusion models, animation and gaming engines, to support humanoid robot development.
• Implement and optimize kinematic and dynamic retargeting pipelines to accurately map human demonstrations onto the robot's specific physical constraints, mass distributions, and joint limits.
• Develop tools and scripts to process and clean raw human demonstration data, and apply state-of-the-art retargeting libraries (e.g., GMR, Omni-retarget) to synthesize and filter new behaviors.
• Leverage game engines (Unreal Engine or Unity) and physics simulators to build simulated environments for procedural motion generation and data augmentation.
• Generate high-volume, high-quality trajectory datasets required for training whole-body reinforcement learning policies.
• Write robust, automated pipelines to streamline data flow between human demonstration sources, generative motion models, game engines, and the RL training infrastructure.
• Collaborate closely with the Reinforcement Learning and Controls teams to iterate on data requirements, understand failure modes, and ensure the generated trajectories are physically viable on hardware.
Qualifications:
Required:
• Strong theoretical and practical understanding of robot kinematics (FK/IK), coordinate transformations, and rigid body dynamics.
• Experience building or maintaining pipelines for spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation.
• Expertise in Python for scripting, data processing, and pipeline automation.
• A results-oriented mindset with an eagerness to bridge the gap between human motion data and real-world robotic control algorithms.
• High adaptability and a willingness to explore new tools, moving seamlessly across different layers of the robotics software stack as project needs evolve.
• A BS or MS degree in Robotics, Mechanical Engineering, Computer Science, or a related highly technical field.
• 2+ years of industry or applied research experience in robotics, motion planning, sim-to-real pipelines, or technical animation data generation.
• A proven track record of processing large amounts of spatial or motion data to drive robotic or simulated systems.
Preferred:
• Hands-on experience with state-of-the-art motion generation models and open-source retargeting libraries (e.g., GMR, Omni-retarget).
• Proficiency in C++ is highly valued to help integrate with our broader robotics software stack.
• Familiarity and hands-on experience utilizing 3D game engines (Unreal Engine or Unity) or advanced physics simulators for robotics data generation or simulation.
• Hardware (HW) experience, particularly working directly with physical robotic platforms.
• A strong portfolio showcasing relevant robotics, sim-to-real, or motion generation projects.
Company:
Apptronik is a robotics company that designs and builds humanoid robots for various real-world applications. Founded in 2016, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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