Data Analytics Engineer
Data Analytics Engineer
Posted 2 days ago
SENIORITY
Senior
About the role
- 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
