Senior Data Analytics Engineer

Cloud Destinations LLC.; Santa Clara (CA); On-site; USD 83,000 - 90,000; Full time

Job summary

Cloud Destinations LLC in Santa Clara, CA onsite seeks a data analytics engineer to design data pipelines and scalable analytics for engineering decisions. You will build reusable data models, dashboards, alerts, and anomaly detection across CAE, manufacturing, test, telemetry and operations datasets.

You will own advanced SQL, Python, ETL/ELT pipelines, time-series data, and cross-source correlation, leveraging Databricks, AWS, Splunk, Power BI and Microsoft Fabric to deliver trustworthy

Qualifications

• Advanced SQL experience required.

Responsibilities

• Design data pipelines and architectures for clean, usable analytics across engineering and operations datasets.

Skills

SQL

Python

Large-scale data processing

Data modeling

ETL / ELT pipelines

Statistical analysis

Time-series data

API-based data integration

Databricks

AWS

Observability tools

Power BI

Microsoft Fabric

Pandas / PySpark

ML / pattern detection

Manufacturing datasets

Data source correlation

AI/LLM analytics

Tools

Databricks

AWS

Splunk

Power BI

Microsoft Fabric

Pandas

PySpark

ETL / ELT tooling

Job description

Work onsite in Santa Clara, CA and help build analytics that engineers can trust. This role focuses on designing data pipelines and architectures for clean, usable analytics, with an emphasis on scalable monitoring, correlation, dashboards, alerts, and automated anomaly detection across engineering and operational datasets.

What you’ll deliver

• Analytics and pipelines that turn CAE, manufacturing, test, telemetry, and operational data into reliable signals.
• Mission Control analytics covering yield, power, thermal, NVLink, diagnostics, inventory, and other engineering indicators.
• Automated detection for anomalies, outliers, drift, clusters, and trends.
• Cross-source correlation across systems including SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking.
• Dashboards and drill-down analytics, including reports and alerts.
• Reusable datasets and data models that support engineering teams and downstream applications.
• Metric and criteria definition in partnership with subject-matter experts.
• AI/agent-based analytics support while keeping engineering decisions under human review.
• Ongoing improvements to data quality, performance, and accessibility.

Skills and qualifications

• Advanced SQL
• Python plus data analysis and transformation experience
• Large-scale data processing and data modeling
• Experience building ETL / ELT pipelines
• Statistical analysis and anomaly detection
• Hands-on work with time-series and manufacturing/test data
• API-based data integration
• Tooling experience with Databricks and AWS
• Observability and analytics tools such as Splunk
• Dashboarding and analytics platforms including Power BI and Microsoft Fabric
• Data frameworks such as Pandas / PySpark
• Machine learning or pattern-detection experience
• Familiarity with manufacturing, test, telemetry, or semiconductor datasets
• Experience correlating multiple enterprise data sources
• AI/LLM-assisted analytics or agentic workflow experience

Role details

• Location: Santa Clara, CA (onsite)
• Duration: 12 months
• Headcount: 1 role
• Pay: USD $60.00 - $65.00 per hour
• Work arrangement note: On the road

Technologies you’ll work with

SQL, Python, Databricks, AWS, Splunk, Power BI, Microsoft Fabric, Pandas, PySpark, ETL / ELT, API

Application questions

• Overall, how many years of experience do you have?
• Do you have experience with Analyze CAE, manufacturing, test, telemetry, and operational datasets?