On-Site Analytics Engineer for AI-Driven Quality

Anduril Industries, Inc.; Ashville (OH); On-site; USD 143,000 - 191,000; Full time

Job summary

Anduril Industries, Inc. is seeking a data engineer on-site at Arsenal 1 in Ashville, OH. You will build production dashboards, data pipelines, and quality metrics across ERP, MES, QMS, and inventory systems, partnering with manufacturing teams and ML practitioners.

Your work includes data quality, AI-assisted analytics, and end-to-end data projects, with on-site collaboration and a 25% travel expectation. ITAR eligibility and U.S. citizenship are required.

Qualifications

• Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field.
• 4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 1 year in hardware product engineering environment.
• Willingness to work in/around manufacturing operations, including production floor.
• Experience with Foundry, Databricks or equivalent cloud lake house; built and maintained pipelines and dashboards.
• Strong SQL on large, multi-source datasets; windows functions and performance tuning.
• Applied AI experience with ability to review AI-generated artifacts and know limitations.
• Root-cause analysis on complex data issues; trace through stack and explain.
• Eligible to obtain and maintain a U.S. Government security clearance; ITAR.
• Based in or willing to relocate to the greater Columbus, OH area and work on-site at Arsenal 1 in Ashville, OH.
• Travel up to 25% to Anduril sites and vendors.
• U.S. citizenship is required.

Responsibilities

• Operate at the intersection of hardware manufacturing and data analytics; build dashboards for quality workflows.
• Pull production data from ERP, MES, QMS, inventory; build pipelines and analytics with Foundry/Databricks.
• Design, build, and operate production dashboards, pipelines, and quality metrics for Arsenal 1.
• Manage intake and priorities for the site; maintain a prioritized backlog for HQ and site stakeholders.
• Lead data quality investigations; perform deep-dive analysis in SQL and Python to identify root causes.
• Implement data quality checks, validation rules, and automated monitoring in pipelines.
• Build AI-assisted analytics tools; create small apps and workflows to reduce manual work.
• Lead end-to-end data projects; collaborate with cross-functional teams from requirements to deployment.
• Drive adoption; train operators, host office hours, track usage; treat adoption as a deliverable.
• Collaborate with production stakeholders and operate on the production floor.

Skills

Data engineering

Analytics engineering

SQL

Python

AI tools awareness

Data quality

Communication

Education

Bachelors in CS/Engineering or related

Tools

Foundry

Databricks

Git/CI

Job description

Anduril Industries, Inc. is seeking a data engineer on-site at Arsenal 1 in Ashville, OH. You will build production dashboards, data pipelines, and quality metrics across ERP, MES, QMS, and inventory systems, partnering with manufacturing teams and ML practitioners.

Your work includes data quality, AI-assisted analytics, and end-to-end data projects, with on-site collaboration and a 25% travel expectation. ITAR eligibility and U.S. citizenship are required.