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Spatial Data Manager Jobs in Georgetown, TX (NOW HIRING)

Estaff LLC

Senior AI/ML Software Developer

Austin, TX

$54 - $71.25/hr

Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads ... spatial data. • Prior experience in transportation, logistics, or smart city sectors. • ...

Millennium Group

Software Developer Specialist

Austin, TX · On-site

$35.75 - $49/hr

Required : • Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We ... Preferred : • Experience with Geospatial Information Systems (GIS) and analyzing spatial data ...

HNTB

Construction Automation Team Lead

Austin, TX

$94K - $123K/yr

Strong understanding of Common Data Environments (CDE), information management principles, and ... spatial data integration workflows. * Reality capture technologies including terrestrial LiDAR ...

Esolvit, Inc.

Software Developer

Austin, TX · On-site

Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads ... spatial data. * 1 year Prior experience in the transportation, logistics, or smart city sectors ...

Zencon Group Inc.

Software Developer Specialist

Austin, TX · On-site

$35.75 - $49/hr

Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML ... spatial data. • 1 Preferred Prior experience in the transportation, logistics, or smart city ...

SMART TECH SKILLS LLC

Software Developer Specialist

Austin, TX · On-site +1

$35.75 - $49/hr

Build and manage data pipelines, feature engineering workflows, and feature stores * Support ... Experience with GIS and spatial data analysis * Background in transportation, logistics, or smart ...

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Spatial Data Manager information

See Georgetown, TX salary details

$28.8K

$90.3K

$159.8K

How much do spatial data manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for spatial data manager in Georgetown, TX is $90,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $116,600.00 per year, depending on experience, location, and employer.

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

To excel as a Spatial Data Manager, you need expertise in geospatial data analysis, spatial database management, and a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), database systems (like PostgreSQL/PostGIS), and data standards is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for managing complex datasets and collaborating with stakeholders. These abilities ensure accurate data management, efficient workflows, and informed decision-making in organizations reliant on spatial information.

What are some common challenges Spatial Data Managers face when maintaining large geospatial databases?

Spatial Data Managers often encounter challenges related to data quality, integration of multiple data sources, and ensuring data consistency across platforms. Managing large volumes of geospatial data requires robust organizational systems and regular data validation to prevent errors or duplication. Additionally, they must stay up-to-date with evolving GIS technologies and standards while coordinating with cross-functional teams like analysts, engineers, and project managers to support various mapping and spatial analysis needs.

What is the difference between Spatial Data Manager vs GIS Analyst?

AspectSpatial Data ManagerGIS Analyst
CredentialsBachelor's or higher in GIS, Geography, or related field; GIS certificationsBachelor's or higher in GIS, Geography, or related field; GIS certifications
Work EnvironmentData management teams, GIS departments, urban planning firmsMapping projects, spatial analysis teams, environmental agencies
Industry UsageOrganizations managing large spatial datasets, government agenciesAnalysis and visualization of spatial data for projects
Search & ComparisonFocuses on data management, database systems, and infrastructureFocuses on spatial analysis, mapping, and GIS software applications

The main difference is that a Spatial Data Manager oversees the organization, storage, and maintenance of spatial datasets, ensuring data quality and accessibility. In contrast, a GIS Analyst primarily conducts spatial analysis and creates maps using GIS software. Both roles require similar credentials but serve different functions within GIS projects.

What are Spatial Data Managers?

Spatial Data Managers are professionals responsible for organizing, maintaining, and overseeing spatial or geographic data within an organization. They ensure the accuracy, accessibility, and security of geospatial datasets used in mapping, analysis, and decision-making processes. Their role often involves using Geographic Information Systems (GIS), coordinating with other technical staff, and developing data management standards and protocols. Spatial Data Managers support various industries, including urban planning, environmental science, utilities, and transportation.
What are popular job titles related to Spatial Data Manager jobs in Georgetown, TX? For Spatial Data Manager jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Spatial Data Manager jobs in Georgetown, TX look for? The top searched job categories for Spatial Data Manager jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Spatial Data Manager jobs? Cities near Georgetown, TX with the most Spatial Data Manager job openings:
Spatial Data Manager jobs near you
Senior AI/ML Software Developer

Senior AI/ML Software Developer

Estaff LLC

Austin, TX

$54 - $71.25/hr

Other

Posted 9 days ago

Job description

We are seeking a Senior AI/ML Software Developer for a hybrid position (2 days/wk in South Austin office) with deep expertise in AI/ML development to join our Austin client’s team. In this role, you will design, build, and deploy production-grade machine learning systems that serve real users on a scale. You will work across cloud platforms, contribute to MLOps infrastructure, and collaborate with cross-functional teams to deliver impactful AI-driven solutions.

CORE REQUIREMENTS

AI/ML SPECIALIZATIONS

Natural Language Processing & LLMs

•             Experience with transformer architectures (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.

Time Series & Anomaly Detection

•             Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.

Recommender Systems

•             Collaborative filtering, ranking models, personalization engines, or content recommendation pipelines.

Computer Vision

•             Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.

MLOPS & INFRASTRUCTURE

•             MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or equivalent platforms.

•             Distributed Training: Large-scale model training, multi-GPU/multi-node setups, and efficient data parallelism.

•             CI/CD: Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience.

•             Feature Stores: Familiarity with Feast, Tecton, or advanced feature engineering practices.

•             Model Optimization: Quantization, pruning, and knowledge distillation for production efficiency.

•             LLM Models: Experience with Ollama, Hugging Face, or other open/non-frontier model frameworks.

Required Technical Skills

•             Python: 3–5+ years of production experience; Python is your primary language.

•             AI/ML Production: Built and deployed 2–3+ ML models serving real users — not just experiments.

•             Cloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services).

•             DevOps: Hands-on experience with Ansible, CI/CD pipelines, Docker, and Kubernetes.

•             Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL/vector databases.

•             Scripting: Proficient in both Bash and PowerShell for automation workflows.

Preferred Qualifications

•             Experience with Geospatial Information Systems (GIS) and analyzing spatial data.

•             Prior experience in transportation, logistics, or smart city sectors.

•             Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.

•             Familiarity with public sector data compliance, security, and governance standards

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About Estaff

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Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Austin, TX, US

Year founded

2008

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