andurilindustries
Quality Engineer, Analytics
At a Glance
- Location
- United States
- Experience
- 3+ years
- Department
- Quality Engineering
- Posted
- 2026-02-17T20:20:55-05:00
Key Requirements
Required Skills
Domain Knowledge
- Defense
- Education
- Engineering
- Finance
- Healthcare
- Insurance
- Legal
- Manufacturing
- Medical
Benefits & Perks
toward your private health insurance for you and your dependents. Additional
Requirements
Bachelor’s degree in Data Analytics, Engineering, Computer Science, or a related technical field.
Experience in Engineering, Manufacturing, or Quality in defense products and/or complex production process management.
3+ years of experience in a technical data role such as Data Engineer, Analytics Engineer, or BI Engineer.
Proven experience building and maintaining data pipelines and/or analytics models in a platform like Palantir Foundry, Databricks, or a similar cloud environment.
Proficiency in SQL for querying and analyzing large, complex datasets across multiple systems.
Proficiency in Python for data transformation and scripting (e.g., using Pandas, PySpark).
Responsibilities
Support & Maintain Data Analytics:
Support basic analytics and investigation utilizing existing tools and capabilities. Direct users to utilize analytic dashboards, troubleshoot existing dashboard accuracy, and provide modification & improvements to increase dashboard effectiveness.
Investigate Data Quality:
Act as a lead technical investigator for data quality issues. When a dashboard is inaccurate or data seems wrong, you will perform deep-dive analysis using SQL and Python to trace the problem back to its source and identify the root cause.
Troubleshoot & Optimize:
Support the analytics team by troubleshooting data access issues, improving pipeline performance for faster dashboard loads, and ensuring the overall health and reliability of the quality data ecosystem in Foundry.