Senior Data Engineer, Engineering Data Analytics
Core
Building cloud-based data platforms and trusted analytics datasets to support engineering analytics, reporting, and AI-assisted insights for semiconductor testing and analysis.
Role type
Senior IC data engineer (engineering analytics)
Builds
Cloud data platforms, curated analytics layers, and data products for semiconductor product, manufacturing, and test data.
Domain
Semiconductor engineering, data analytics, and AI-enabled exploration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL (window functions, CTEs, query optimization), Python, data modeling, data pipeline ownership, data quality frameworks, data lineage, metric definitions
Preferred skills
Semiconductor product/test/yield/manufacturing analytics, modern cloud data platforms (S3, Athena, Glue, Redshift, EMR, Spark, Databricks, Delta Lake), AI/ML-enabled analytics (LLMs, RAG, natural-language-to-SQL, feature engineering, anomaly detection)
Technologies
Redshift, S3, Athena, Databricks, Spark, Delta Lake, EMR, Glue
Responsibilities
Build and evolve trusted engineering analytics datasets and data products; Translate complex domain concepts into reliable data structures and validation rules; Own and improve curated data layers (prep/fact tables, silver/gold datasets); Partner with engineering and UI teams to turn ambiguous questions into scalable data solutions; Define data quality checks and validation frameworks; Provide technical direction on data architecture standards; Optimize data pipelines for performance, scalability, and cost
Seniority
Senior, hands-on IC