Data Analytics Engineer

Urgent Hiring: Senior Data Analytics Engineer

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 SQLPythonData analysis and transformation Large-scale data processing Data modeling Dashboard and visualization development Statistical analysis and anomaly detectionETL / ELT pipelines Working with time-series and manufacturing/test dataAPI-based data integration Strongly Preferred DatabricksAWSSplunkPower BIMicrosoft FabricPandas / PySparkMachine learning or pattern-detection experience Manufacturing, test, telemetry, or semiconductor datasets Experience correlating multiple enterprise data sourcesAI/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.

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