Production Master Data Engineer: Automation & AI Pipelines

Anduril Industries; Costa Mesa (CA); On-site; USD 132,000 - 175,000; Full time

Job summary

Anduril Industries is seeking a Production Master Data Engineer to design and build automated masters data tools that scale with our production operations. You will partner with Production, IT, and Business Systems to implement scalable data solutions across multiple systems, shipping practical implementations quickly.

This hands-on role focuses on automations, validation, and AI-assisted data enrichment, with dashboards to show data quality and production impact.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field.
• 3+ years of data engineering, master data management, or manufacturing ERP support experience.
• Strong Python and SQL for building production-grade automations.
• Experience building REST API integrations between enterprise systems.
• Knowledge of ERP master data and its impact on production processes.

Responsibilities

• Design and own automations, data pipelines, and validation rules for master data.
• Implement automated data quality checks to prevent production issues.
• Integrate PLM, ERP, MES, and other systems to synchronize master data.
• Investigate data issues and engineer permanent fixes.
• Apply AI/LLM-based solutions for data enrichment and self-service requests.
• Deliver dashboards to show data quality and production impact.
• Collaborate with production teams to scope requirements and build tools.
• Lead data loads and validation for system upgrades and migrations.

Skills

Python

SQL

REST API integrations

Data engineering

Data quality

Communication

Education

Bachelor's degree in Engineering, Computer Science, Information Systems, or related field

Tools

Tableau

Power BI

ERP systems

RPA platforms

Job description

Anduril Industries is seeking a Production Master Data Engineer to design and build automated masters data tools that scale with our production operations. You will partner with Production, IT, and Business Systems to implement scalable data solutions across multiple systems, shipping practical implementations quickly.

This hands-on role focuses on automations, validation, and AI-assisted data enrichment, with dashboards to show data quality and production impact.