Sr Data Analytics Engineer

Cloud Destinations LLC.; Santa Clara (CA); On-site; USD 83,000 - 87,000; Full time

Job summary

Cloud Destinations LLC. is hiring a senior data analytics engineer to design data pipelines and analytics architectures that make engineering and operational data reliable, usable, and actionable.

This onsite role in Santa Clara, CA focuses on building scalable analytics, monitoring, and correlation capabilities, along with dashboards, anomaly detection, and data models across multiple platforms. You will work with time-series and manufacturing/test data, develop ETL/ELT pipelines, and partner

Qualifications

• 10+ years of data engineering or data analytics experience.
• Strong SQL and Python programming skills.
• Experience with time-series, manufacturing/test data, and ETL/ELT pipelines.

Responsibilities

• Analyze CAE, manufacturing, test, telemetry, and operational datasets to support engineering and mission workflows.
• Build analytics for Mission Control, including signals such as yield, power, thermal, NVLink, diagnostics, inventory, and engineering metrics.
• Develop automated detection for anomalies, outliers, drift, clusters, and trends.
• Correlate data across sources like SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking systems.
• Create dashboards, reports, alerts, and drill-down analytics for deeper investigation.
• Develop reusable datasets and data models for use across engineering use cases.
• 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.

Skills

SQL

Python

Data analysis

Time-series data

ETL/ELT pipelines

Data modeling

Dashboard development

Anomaly detection

Tools

Databricks

AWS

Splunk

Power BI

Microsoft Fabric

Pandas

PySpark

Machine learning

AI/LLM-assisted analytics

Agentic workflows

API-based data integration

Job description

Cloud Destinations LLC. is hiring a senior data analytics engineer to design data pipelines and analytics architectures that make engineering and operational data reliable, usable, and actionable. This onsite role in Santa Clara, CA focuses on building scalable analytics, monitoring, and correlation capabilities, along with dashboards, anomaly detection, and data models across multiple platforms.

What you’ll do

• Analyze CAE, manufacturing, test, telemetry, and operational datasets to support engineering and mission workflows.
• Build analytics for Mission Control, covering signals such as yield, power, thermal, NVLink, diagnostics, inventory, and related engineering metrics.
• Develop automated detection for anomalies, outliers, drift, clusters, and trends.
• Correlate data across sources including SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking systems.
• Create dashboards, reports, alerts, and drill-down analytics for deeper investigation.
• Develop reusable datasets and data models that engineering teams can apply across use cases.
• 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.

Required skills and experience

• 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
• Experience working with time-series and manufacturing/test data
• API-based data integration
• Data Engineer experience: 10 years

Tools and technologies

• Databricks
• AWS
• Splunk
• Power BI
• Microsoft Fabric
• Pandas
• PySpark
• Machine learning
• AI/LLM-assisted analytics
• Agentic workflows
• API-based data integration

Strongly preferred

• Databricks, AWS, Splunk, Power BI, and 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

Location and schedule

• In person
• Santa Clara, CA
• 40.0 hours per week

Compensation

• $60.00 to $63.00 per hour