AI Data Engineer — Snowflake Cortex, RAG & Agentic AI (Austin)

Robotics Technologies; Austin (TX); On-site; USD 85,000 - 121,000; Full time

Benefits offered by this job

Onsite Austin

12-month contract

Job summary

Robotics Technologies in Austin, TX is hiring an AI Data Engineer onsite for a 12-month contract with possible extension to design and deploy AI-powered data solutions, including RAG and agentic workflows on Snowflake-based data platforms.

Requirements include 10+ years in Data Engineering or Data Platforms, deep Snowflake expertise (security, governance, performance), hands-on Cortex AI/CoCO, SQL and Python, and experience with Airflow, dbt, Spark, Kafka and cloud platforms (AWS/Azure/GCP).

Qualifications

• 10+ years in Data Engineering or related field.
• Deep Snowflake architecture knowledge (security, governance, performance).
• Hands-on Cortex AI, CoCO, CoCO Desktop, Snowpark experience.
• Experience with LLMs, RAG, vector search, agentic AI.
• Strong SQL and Python skills; proficiency with Airflow, dbt, Spark, Kafka.
• Cloud exposure across AWS, Azure, or GCP; solution architecture focus.

Responsibilities

• Design and deploy AI-powered data solutions using Snowflake Cortex AI and CoCO.
• Develop RAG and agentic workflows with semantic layers and enterprise AI apps.
• Architect scalable Snowflake-based data platforms with Kafka, Spark, Airflow, dbt.
• Build ELT/ETL pipelines and real-time integrations; lead PoCs and deployments.
• Create accelerators and best practices to standardize delivery.

Skills

Snowflake architecture

Cortex AI

CoCO

CoCO Desktop

Snowpark

SQL

Python

Airflow

dbt

Spark

Kafka

AWS

Azure

GCP

LLM

RAG

agentic AI

OpenAI integration

governance

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Spark

Kafka

OpenAI

Anthropic

Gemini

Open-source models

Job description

Robotics Technologies in Austin, TX is hiring an AI Data Engineer onsite for a 12-month contract with possible extension to design and deploy AI-powered data solutions, including RAG and agentic workflows on Snowflake-based data platforms.

Requirements include 10+ years in Data Engineering or Data Platforms, deep Snowflake expertise (security, governance, performance), hands-on Cortex AI/CoCO, SQL and Python, and experience with Airflow, dbt, Spark, Kafka and cloud platforms (AWS/Azure/GCP).