Data Analytics Engineer

Location: Santa Clara, CA - onsite 5 days a week

Work Authorization: Any visa but no H1BLength of Contract: 12 months+Build scalable analytics, monitoring, and correlation solutions across CAE, Mission Control, and other SPT platforms to turn large engineering and operational datasets into actionable insights. Core Skills

• Advanced SQL
• Python
• Data analysis and transformation
• Large-scale data processing
• Data modeling
• Dashboard and visualization development
• Statistical analysis and anomaly detection
• ETL / ELT pipelines
• Working with time-series and manufacturing/test data
• API-based data integration Strongly Preferred
• Databricks
• AWS
• Splunk
• Power BI
• Microsoft Fabric
• Pandas / PySpark
• Machine learning or pattern-detection experience
• Manufacturing, test, telemetry, or semiconductor datasets
• Experience correlating multiple enterprise data sources
• AI/LLM-assisted analytics or agentic workflows Expected Responsibilities
• Analyze CAE, manufacturing, test, telemetry, and operational datasets.
• Build analytics for Mission Control covering yield, power, thermal, NVLink, diagnostics, inventory, and other engineering signals.
• Develop automated detection of anomalies, outliers, drift, clusters, and trends.
• Correlate data across sources such as SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking systems.
• Create dashboards, reports, alerts, and drill-down analytics.
• Develop reusable datasets and data models for engineering teams.
• Partner with subject-matter experts to define meaningful metrics and detection criteria.
• Support AI/agent-based analytics while keeping engineering decisions under human review.
• Improve data quality, performance, and accessibility for downstream applications.