14 ai data engineer jobs at 5 companies in Belton, TX
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Principal Data Automation Engineer/ Data Scientist, Supply Chain
Nashville or Austin
$115k-$235k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
7+ YOE7+ years experience in data engineering, analytics, automation or AI/ML; strong SQL and Python; experience building data pipelines, ETL/ELT, BI/visualization, and supply chain analytics.
Ovivo: Provides global water and wastewater treatment equipment and solutions.
3+ YOEBachelor's or equivalent, 3+ years in software/data/AI engineering, hands-on AI/ML build and deployment experience, SQL and Python proficiency, stakeholder engagement and change-management experience.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Bachelor’s or Master’s degree in Electrical Engineering preferred, with extensive HPC, AI infrastructure, or data center systems engineering experience and knowledge of rack, network, power, storage, and cooling design.
System Failure Analysis Engineer (GPU Servers / Data Center)
Austin, Texas, United States
$85k-$145k/yrOnsiteFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Senior failure analysis engineer with practical experience debugging GPU-accelerated servers in rack/data center environments; adept with BIOS/BMC/IPMI; capable of AI-assisted debugging and cross-functional collaboration.
oscilloscopes, logic analyzers, protocol analyzers, power analyzers, BIOS/UEFI debugging tools
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
6+ YOESenior data scientist with 6+ years (Master's) or 10+ years experience; expertise in ML, generative AI, LLMs, agentic frameworks; strong engineering skills (Python, Git, Docker) and MLOps/LLMOps experience.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
3+ YOEDesign and optimize scalable, reliable data center infrastructure and deployment pipelines with AI integration; implement automation/IaC, security controls, monitoring, runbooks, and incident response.
Infrastructure as Code (IaC) Tools, Oracle AI Data Platform, Oracle AI Database
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
5+ YOE5+ years building and operating large-scale distributed systems; strong C++ or Java, Python scripting, Linux and systems debugging, Terraform experience, and deep knowledge of data structures, OS, networking, databases, and performance tuning.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
Pursuing a degree in supply chain, CS, industrial engineering, data science, or OR; strong interest in modern logistics; foundational AI concepts; analytical and communication skills.
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
12+ YOEExpert in enterprise knowledge graph architecture (Neo4j/Stardog), ontology engineering (OWL2), RAG/agentic AI, PySpark/Kafka/Airflow integration, Python/SQL/Cypher/SPARQL proficiency, and 12+ years experience with 4+ years on knowledge graphs.
ERCOT: Managing the electrical grid and power markets in Texas.
5+ YOE5+ years software development experience; bachelor's in engineering/computer science; proficiency in full-stack web development, data pipelines, AI tools, and cloud platforms; strong communication and leadership skills.
Santa Clara or Seattle or New York or Austin or Nashville or United States
$100k-$235k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
7+ YOERequires 7+ years building software systems and AI applications, strong Python and ML framework experience (PyTorch/TensorFlow), experience with LLMs, data engineering (Spark/Kafka/Flink/OCI), distributed training/inference, and network automation tools.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
10+ YOE10+ years technical program or infrastructure program leadership; experience with large-scale data center or cloud environments; executive communication; stakeholder management; AI/automation experience; bachelor’s in engineering or CS preferred.