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Job Description

Cloud Destinations LLC. is seeking a Sr Data Analytics Engineer to design and deliver analytics data pipelines and architectures that keep engineering data clean, usable, and operationally actionable. Based in Santa Clara, CA, this in-person role focuses on building scalable analytics, monitoring, and correlation capabilities, along with dashboards, anomaly detection, and data models across multiple engineering and operational platforms.

What you will do

  • Analyze CAE, manufacturing, test, telemetry, and operational datasets.
  • Build Mission Control analytics that cover signals including yield, power, thermal, NVLink, diagnostics, inventory, and other engineering metrics.
  • Develop automated detection for anomalies, outliers, drift, clusters, and trends.
  • Correlate data across multiple sources including SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking systems.
  • Create dashboards, reports, alerts, and drill-down analytics for engineering and operational use.
  • Develop reusable datasets and data models that support engineering teams.
  • Partner with subject-matter experts to define metrics and detection criteria that are meaningful for engineering outcomes.
  • Support AI/agent-based analytics while keeping engineering decisions under human review.
  • Improve data quality, performance, and accessibility for downstream applications.

Required qualifications

  • 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

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
  • 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

Compensation and schedule

  • $60.00 - $63.00 per hour
  • 40.0 hours per week

Experience level and location

  • 10 years experience (Data Engineer) (Required)
  • In person work location
  • Santa Clara, CA

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