Data Engineer
Core
Build and maintain reliable data pipelines and AI-powered applications that securely retrieve, interpret, and summarize business information.
Role type
Data Engineer (AI & Data Platform)
Builds
Scalable data models, production data pipelines, and agent-based AI workflows for analytics, reporting, and business applications.
Domain
Industrial technology, data engineering, and AI application development.
Required skills
SQL, Python, cloud-based data warehouses, data pipeline development, Snowflake, dbt, data integration tools, LLMs, RAG, tool calling, agent-based workflows, APIs, CI/CD, automated testing.
Preferred skills
Snowflake Cortex, semantic layers, metadata systems, governed retrieval architectures, LLM evaluation frameworks, observability tools, token-cost optimization, role-based access controls, data governance.
Technologies
Airbyte, Snowflake, dbt, Claude Code, GitHub Copilot, Cursor, Codex
Responsibilities
Design and optimize scalable data models; develop and maintain dbt models, testing frameworks, and deployment processes; build and enhance AI-powered applications with retrieval and context-management; monitor system health, application performance, and operational costs; troubleshoot issues across data pipelines and AI workflows; partner with business stakeholders to translate requirements into scalable solutions.
Seniority
Mid-level, hands-on IC
