Data Analytics Engineer

Urgent Hiring: Senior Data Analytics Engineer

Location: Santa Clara, CA

Employment Type: W2 Only

Visa: USC / H4 EAD

Job Description

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]