Data Engineer

Role Summary

This role develops scalable analytics, monitoring, and data correlation solutions across engineering and operational platforms. The position transforms large CAE, manufacturing, test, telemetry, and operational datasets into actionable insights for engineering teams. Responsibilities include building data models, dashboards, automated anomaly detection, and cross-source analytics. The role partners with subject-matter experts to define meaningful metrics and support AI-assisted analytics while maintaining human oversight of engineering decisions.

Responsibilities

• Analyze CAE, manufacturing, test, telemetry, and operational datasets.
• Build Mission Control analytics covering yield, power, thermal performance, NVLink, diagnostics, inventory, and other engineering signals.
• Develop automated detection for anomalies, outliers, data drift, clusters, and trends.
• Correlate data across SFC, TestLogs, BOM, diagnostics, shipping, issue-tracking, and other enterprise 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- and agent-based analytics while keeping engineering decisions under human review.
• Improve data quality, processing performance, and accessibility for downstream applications.
• Build and maintain ETL and ELT pipelines and API-based data integrations.

Qualifications

• Advanced SQL skills.
• Proficiency with Python and data analysis and transformation techniques.
• Experience with large-scale data processing and data modeling.
• Experience developing dashboards and data visualizations.
• Knowledge of statistical analysis and anomaly detection.
• Experience working with time-series, manufacturing, test, telemetry, or semiconductor datasets.
• Experience developing ETL or ELT pipelines and integrating data through APIs.
• Experience correlating multiple enterprise data sources.
• Familiarity with Databricks, AWS, Splunk, Power BI, Microsoft Fabric, Pandas, or PySpark is preferred.
• Machine learning, pattern-detection, AI-assisted analytics, or agentic workflow experience is preferred.

Publishing Pay Range: $60.00 – $63.92 Hourly

This position is based in office and requires employee to work on-site.