Senior AI/ML Data Engineer — Snowflake & LLM Agents

Peak Performers; Austin (TX); Hybrid; USD 103,000 - 124,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision insurance

403(b) retirement plan

Weekly pay via direct deposit

Equal opportunity employer

Job summary

Peak Performers, a Texas State Agency partner, seeks a hybrid Senior AI/ML Data Engineer in Austin to build a modular agentic AI platform within Snowflake that semi-automates the data analytics lifecycle for the Enterprise Data Platform (EDP).

You will deliver an end-to-end data platform, including agents for ingestion, data quality, and orchestration, and generate executable code and DBT models with testing and validation before deployment.

Qualifications

• 7+ years of software or data engineering experience.
• 2+ years building LLM-powered applications in production.
• 7+ years implementing tool-calling agents and orchestration loops.
• 7+ years production ELT/ETL development with Snowflake and DBT.

Responsibilities

• Build reusable foundational agents for data ingestion and processing.
• Create data quality agents for monitoring completeness and accuracy.
• Develop the Ingestion Supervisory Agent to generate executable ingestion code.
• Generate Snowflake DBT packages and workflow interfaces.
• Develop conversational analytics and natural-language Q&A interfaces.
• Implement automated testing, guardrails, and human-in-the-loop gates.
• Register agents in the central catalog with documentation.
• Document agent architectures for knowledge transfer.

Skills

Python

SQL

Snowflake

DBT

OpenAI function calling

MCP servers

Snowpark

Git CI/CD

Tools

Snowflake

DBT

Snowpark

CI/CD

Job description

Peak Performers, a Texas State Agency partner, seeks a hybrid Senior AI/ML Data Engineer in Austin to build a modular agentic AI platform within Snowflake that semi-automates the data analytics lifecycle for the Enterprise Data Platform (EDP).

You will deliver an end-to-end data platform, including agents for ingestion, data quality, and orchestration, and generate executable code and DBT models with testing and validation before deployment.