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# AI Data Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $156,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, ARM Architecture, Microsoft Azure, Mobile Application Development, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Performance Tuning, OpenAI, Standard Sql, Search Technologies, Software Deployment, Systems Integration, Retrieval-Augmented Generation, Open-source Models, Large Language Models, Snowflake, Apache Spark, Agentic-AI, Data Layers, Apache Kafka, Data Management, Google Gemini, Streamlit Framework, Serverless Computing
- **Published:** November 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7a1470327c0a919c

## About the Role

* 10+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
 * Deep expertise in Snowflake architecture, security, governance, and performance optimization.
 * Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
 * Experience building LLM, RAG, vector search, and agentic AI solutions.
 * Strong SQL and Python skills.
 * Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
 * Strong customer-facing communication and solution architecture skills.
 * Preferred Qualifications:
 * Snowflake certifications (Architect, Data Engineer, AI specialization).
 * Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
 * Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
 * Knowledge of enterprise security, governance, privacy, and compliance frameworks.

## Description

* Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
 * Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
 * Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
 * Build robust ELT/ETL pipelines and real-time integrations.
 * Lead workshops, architecture reviews, PoCs, and production deployments.
 * Develop reusable accelerators and best practices.