Data Analytics Engineer
Job details
- Employment
- Full-time
- Level
- Senior
- Experience
- 12+ years
- Posted
- Oct 30, 2026
- Last confirmed open
- Oct 31, 2026
About this role
URGENT HIRING DATA ANALYTICS ENGINEER Job Title: Senior Data Analytics Engineer
Location: Santa Clara, California
Experience Required: 12+ Years Overall IT Experience
Employment Type: W2 Only
Work Authorization: US Citizens / H4 EAD Only
Job Overview
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 Rachael IT Services | Development | Staffing
Email: [email protected]