Agentic Data Engineer II
Core
Develop reliable data pipelines and maintain robust workflows optimized for machine learning models and large language model (LLM) consumption to support AI initiatives.
Role type
Senior IC data engineer (AI/ML infrastructure)
Builds
Production-grade data pipelines, LLM feature stores, and AI application workflows
Domain
Telecommunications / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Databricks (Spark, Delta Lake), Snowflake, Git, CI/CD, containerization, data observability, data governance, system troubleshooting
Preferred skills
Building AI Agents, integrating vector datasets, semantic layer design
Technologies
Databricks, Spark, Delta Lake, Snowflake, Python, SQL, Git
Responsibilities
Design scalable data pipelines optimizing infrastructure performance and resource utilization; Build and maintain reliable pipelines for LLM feature stores; Develop automated monitoring and self-healing mechanisms; Integrate observability tools to track data freshness and lineage; Structure complex datasets into standard semantic layers for low-latency AI access.
Seniority
Mid-Senior, hands-on IC