Senior Hardware Data Analytics Engineer – Quality & Reliability

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 173,000 - 203,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health, dental, vision

Mental health resources

Paid time off

Sick and parental leave

Employee discounts

Job summary

United States Digital Space LLC is seeking a Senior Quality Data Engineer – Hardware to join our Hardware Quality Engineering team in San Francisco. You will analyze manufacturing, test, telemetry, warranty, and field data to uncover quality trends and drive improvements across engineering and manufacturing.

The role requires strong SQL and Python, with experience turning large datasets into actionable insights, and collaboration across Hardware, Quality, Reliability, Firmware, Operations, and

Qualifications

• 5+ years of experience working with data in engineering, manufacturing, quality, reliability, or related technical environment.
• Strong SQL skills and Python for data analysis and automation.
• Experience with large datasets and turning ambiguous engineering or product questions into structured analysis.
• Experience with manufacturing, hardware test, reliability, warranty, field, or product data.
• Working knowledge of statistics and evaluating trends and correlations.

Responsibilities

• Analyze manufacturing, factory test, device telemetry, field, warranty, and failure analysis data to identify quality trends and emerging issues.
• Connect data across manufacturing systems, test logs, device telemetry, and field returns to understand relationships between build, test, and field performance.
• Support failure investigations by identifying patterns and correlations linking field failures to manufacturing processes or product behavior.
• Compare failed vs. known-good populations to spot signals associated with downstream failures.
• Analyze testing parameters to identify marginal passes and opportunities to improve screening/detection.
• Build cohort-based warranty and field-quality analyses across product, build, factory, and time in field.
• Apply statistics to separate meaningful signals from normal variation for data-driven decisions.
• Develop monitoring and early-warning indicators to catch issues before large problems arise.
• Collaborate with Quality and Engineering to validate findings through experiments and measure corrective actions.
• Identify gaps in data quality and work with teams to resolve them.
• Create scalable analytics, dashboards, and automated reports for visibility.

Skills

SQL

Python

Data analysis

Statistics

Manufacturing data

Cross-functional collaboration

Communicate findings

AI/ML data validation

Tools

Tableau

Databricks

AWS

dbt

Athena

Job description

United States Digital Space LLC is seeking a Senior Quality Data Engineer – Hardware to join our Hardware Quality Engineering team in San Francisco. You will analyze manufacturing, test, telemetry, warranty, and field data to uncover quality trends and drive improvements across engineering and manufacturing.

The role requires strong SQL and Python, with experience turning large datasets into actionable insights, and collaboration across Hardware, Quality, Reliability, Firmware, Operations, and