Senior Data Analytics Engineer
Senior
Api Integration
AWS
Cloud Data Engineering
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Databricks
ETL
Etl/elt
Microsoft Fabric
Power BI
Pyspark
Reporting and Analytics
Spark
Splunk
SQL
Job Description
Onsite in Santa Clara, CA, this Senior Data Analytics Engineer role focuses on building clean, reliable analytics that engineering teams can actually use. You will design data pipelines and architectures for scalable analytics, monitoring, and correlation, including dashboards, alerts, and automated anomaly detection across engineering and operational datasets.
What you’ll be building
- Analytics for Mission Control across signals including yield, power, thermal, NVLink, diagnostics, inventory, and other engineering indicators
- Automated detection of anomalies, outliers, drift, clusters, and trends
- Correlation across multiple sources such as SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking systems
- Dashboards, reports, alerts, and drill-down analytics for engineering stakeholders
- Reusable datasets and data models that support downstream engineering workflows
Key responsibilities
- Analyze CAE, manufacturing, test, telemetry, and operational datasets
- Create automated monitoring and anomaly detection capabilities for multi-source engineering data
- Partner with subject-matter experts to define meaningful metrics and detection criteria
- Support AI or agent-based analytics while keeping engineering decisions under human review
- Improve data quality, performance, and accessibility for downstream applications
What you bring
- Advanced SQL and strong Python skills
- Experience with data analysis, transformation, and data modeling
- Large-scale data processing and ETL / ELT pipeline development
- Working knowledge of time-series and manufacturing/test data
- Statistical analysis and anomaly detection experience
- Hands-on integration using API-based data integration
- Experience with data platforms and tools including Databricks, AWS, and Splunk
- Dashboarding and reporting development using Power BI and/or Microsoft Fabric
- Proficiency with Pandas / PySpark and familiarity with machine learning or pattern-detection approaches
- Experience working with manufacturing, test, telemetry, or semiconductor datasets
- Ability to correlate multiple enterprise data sources
- Experience with AI/LLM-assisted analytics or agentic workflows
Role details
- Number of roles: 1
- Location: Santa Clara, CA (onsite)
- Duration: 12 months
- Compensation: USD 60 to 65 per hour
Application questions
- Overall, how many years of experience do you have?
- Do you have experience analyzing CAE, manufacturing, test, telemetry, and operational datasets?
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