Data Engineer II
Core
Build and maintain data pipelines, transformations, semantic models, and curated datasets across engineering and operational data sources while developing autonomous AI agents for automated insight generation.
Role type
Data Engineer II (AI/Agentic Automation focus)
Builds
Data pipelines, semantic models, curated datasets, and autonomous AI agents
Domain
Engineering and operational data, telemetry, observability, product usage
Deliverable
production ML models
Required skills
Python, PySpark, ETL/ELT pipeline development, data modeling, telemetry/observability data handling, autonomous AI agent development, data validation, automation
Preferred skills
Large-scale data platform experience, business intelligence reporting, operational analytics
Technologies
Azure DevOps, Python, PySpark
Responsibilities
Build and maintain data pipelines and transformations; Develop telemetry validation and data quality checks; Automate manual reporting and intake workflows; Investigate data issues and drive root-cause fixes; Develop autonomous AI agents for automated insight generation
Seniority
Mid-level (2+ years or 1+ year with Master's)
