Job Title:

Sr Data Analytics Engineer Number of Roles:

1

Location:

Santa Clara, CA Duration:

12 months Data Engineer - Designs data pipelines and architectures for clean, usable analytics. 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.

Pay:

$60.00 - $65.00 per hour Application Question(s): Overall how many years you have? Do you have experience with Analyze CAE, manufacturing, test, telemetry, and operational datasets?

Work Location:

On the road