Site Analytics Engineer: Manufacturing Data & AI Tools

Digitailor; Atlanta (GA); Presencial; USD 127.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Travel up to 25%

Equity grants

Comprehensive benefits

Descripción de la vacante

Anduril Industries is seeking an analytics engineer for our Atlanta site to own and evolve data pipelines, dashboards, and quality metrics. You will work on production data from ERP, MES, QMS, and inventory, building actionable analytics and AI-assisted tools to support operations on the floor.

You will design and maintain dashboards, troubleshoot data quality issues, and partner with engineers and program leads to translate requirements into data products.

Formación

• Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field.
• 2+ years in a Data Analyst, Data Engineer, Analytics Engineer, or similar role.
• Experience with Foundry, Databricks, or an equivalent cloud lakehouse.
• Strong SQL on large, multi-source datasets with performance tuning.
• Applied experience using AI tools with ability to review AI-generated artifacts critically.
• Demonstrated ability to troubleshoot data issues and trace numbers back through the stack.
• Eligible to obtain and maintain a U.S. Government security clearance (ITAR).

Responsabilidades

• Operate at the intersection of hardware manufacturing and data analytics, building analytics tools for workflows and dashboards.
• Pull data from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Foundry and Databricks.
• Design, build, and maintain production dashboards, pipelines, and quality metrics for the site.
• Translate operator feedback into a prioritized backlog and drive rollouts to HQ.
• Perform deep-dive analyses in SQL/Python to identify root causes and fix issues at the source.
• Contribute to data-quality checks, validation rules, and automated monitoring in pipelines.
• Build AI-assisted analytics tools to reduce repetitive analyst work and accelerate data exploration.
• Support data projects end-to-end from requirements to deployment and drive adoption among users.
• Utilize AI to draft pipelines, write tests, generate dashboards, and accelerate repetitive tasks.

Conocimientos

SQL

Foundry

Databricks

AI tools

Data pipelines

Troubleshooting

Communication

Educación

Bachelor's degree in CS / Engineering

Herramientas

Foundry

Databricks

Python

Descripción del empleo

Anduril Industries is seeking an analytics engineer for our Atlanta site to own and evolve data pipelines, dashboards, and quality metrics. You will work on production data from ERP, MES, QMS, and inventory, building actionable analytics and AI-assisted tools to support operations on the floor.

You will design and maintain dashboards, troubleshoot data quality issues, and partner with engineers and program leads to translate requirements into data products.