Manufacturing Quality Data Engineer: On-Floor Analytics & AI

Mosaic.tech; Atlanta (GA); On-site; USD 144,000 - 191,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity grants

Travel opportunities

Job summary

Anduril Industries in Atlanta seeks a Quality Specialist within Quality Intelligence to own end-to-end data and analytics for production lines and quality engineers. You will localize analytics on the shop floor, partnering with site applications leads to scale dashboards and AI tools that improve manufacturing decisions.

The role requires 4+ years in data engineering/analytics in manufacturing, expertise with Palantir Foundry or Databricks, and the ability to work on active production floors.

Qualifications

• Bachelor’s degree in Computer Science, Mechanical Engineering, Industrial Engineering, or related field.
• 4+ years in data engineering/analytics with 2+ years in manufacturing/hardware environment.
• Strong understanding of manufacturing workflows and shop-floor data.
• Production experience with Palantir Foundry or Databricks.
• Advanced SQL and Python (Pandas, PySpark).
• Experience with AI tools and evaluating AI outputs.

Responsibilities

• Translate manufacturing processes into actionable dashboards and analytics on the shop floor.
• Design and operate production scorecards and inspection-data analytics for Atlanta facility.
• Build robust data pipelines across ERP/MES/QMS/inventory sources.
• Perform root-cause analyses and fix issues at the source.
• Implement automated data-quality checks and monitoring in pipelines.
• Lead data projects end-to-end with cross-functional teams.
• Develop AI-assisted workflows to reduce analyst workload.

Job description

Anduril Industries in Atlanta seeks a Quality Specialist within Quality Intelligence to own end-to-end data and analytics for production lines and quality engineers. You will localize analytics on the shop floor, partnering with site applications leads to scale dashboards and AI tools that improve manufacturing decisions.

The role requires 4+ years in data engineering/analytics in manufacturing, expertise with Palantir Foundry or Databricks, and the ability to work on active production floors.