Senior AI/ML Data Engineer

About the role

Deliver a modular agentic AI platform built within Snowflake that semi-automates the data analytics lifecycle for the Enterprise Data Platform (EDP).

Responsibilities

• Build Reusable Foundational Agents: Develop the core data ingestion and processing agents (responsible for source extraction, transformation, and load orchestration) designed to be built once and reused across all enterprise application workstreams.
• Engineer Data Quality (DQ) Agents: Create intelligent agents for continuous monitoring of data completeness, accuracy, and consistency. Implement anomaly flagging, DQ reporting, and automated remediation triggers.
• Develop the Ingestion Supervisory Agent: Build the "OneClick Ingestion" supervisor capable of generating executable ingestion code, deploying pipeline components, and managing source connectors dynamically.
• Deliver Engineering Acceleration (DBT): Programmatically generate Snowflake DBT packages and build the workflow interfaces that allow engineers to review, modify, and approve the generated code.
• Implement Conversational Analytics: Contribute to the "Accelerating Data Solutions" workstream by developing natural-language Q&A interfaces, automated report generation, and dynamic semantic model creation powered by Snowflake Intelligence.
• Rigorous Testing & Safety Guardrails: Implement automated testing, comprehensive agent evaluation frameworks, safety guardrails, and seamless integration with human-in-the-loop approval gates.
• Catalog & Governance Integration: Register every developed agent in the centralized platform catalog, maintaining meticulous documentation on capabilities, versions, inputs, and outputs.
• Documentation & Knowledge Transfer: Document agent architecture designs and actively collaborate with data engineers to ensure a smooth handoff and long-term sustainability.

Requirements

• 7 years of software or data engineering experience, including 2+ years hands-on building LLM-powered applications and at least one agent system in production.
• 7 years of experience implementing tool-calling agents in production, including tool/function schema design, structured outputs, orchestration loops, retries, timeouts, and failure handling.
• 7 years of experience building at least one production agent that generates executable code or artifacts such as SQL, Python, or DBT models, with validation and testing before execution.
• 7 years of experience writing and maintaining agent evaluation suites.
• 7 years of experience implementing guardrails and human-in-the-loop approval gates.
• 7 years of production ELT/ETL development with Snowflake and DBT.
• 7 years of strong Python and SQL experience.
• 7 years of implementer-level experience with MCP or OpenAI-compatible function calling.
• 7 years of expert-level Snowflake engineering experience, including Snowpark, Cortex / Snowflake Intelligence, streams and tasks, security configuration, and ODS-to-business-layer modeling.
• 7 years of experience building or deploying MCP servers/clients or OpenAI-compatible tool interfaces in production.
• 7 years of strong Python and SQL, DBT at scale, CI/CD for data platforms, and SSO/RBAC design.

Qualifications

Rate: $81.00/hour
W2
Contract
Worksite Location: Austin, Tx 78744
Hybrid
Contract length: 1 year with opportunity for extension

Benefits

Excellent medical health, dental & vision insurance at 60 days
Qualified applicants with chronic medical conditions and/or disabilities receive priority placement
We pay weekly through direct deposit
In business since 1994 and thousands of job placements

Schedule

Hybrid

Pay

$81.00/hour

Benefits

Excellent medical health, dental & vision insurance at 60 days
Qualified applicants with chronic medical conditions and/or disabilities receive priority placement
We pay weekly through direct deposit
In business since 1994 and thousands of job placements

Peak Performers difference

Equal opportunity employer

Application Instructions

Unsolicited resumes from headhunters, recruitment agencies or fee-based recruitment services will not be considered.