Data Operations Engineer — Product Lifecycle Analytics & Roadmap

Anduril Industries, Inc.; Costa Mesa (CA); On-site; USD 145,000 - 190,000; Full time

Benefits offered by this job

Equity grants

Comprehensive benefits

Job summary

Anduril Industries is seeking a Data Operations Engineer to architect, build, and deploy critical tooling across our hardware and software portfolio. You will bridge the CEO Office and product teams, delivering analytics solutions and centralized dashboards that reveal data-driven insights for executives.

You will design actionable data products, connect ERP, PLM, MES with collaboration tools, and champion durable data architecture while iterating based on stakeholder feedback.

Qualifications

• 6+ years of experience in data analytics, software engineering, or MIS.
• Experience coding with Python and SQL; familiarity with React/TypeScript.
• Experience with Palantir Foundry or Databricks.

Responsibilities

• Own the technical roadmap from conception through delivery and sustainment.
• Build dashboards and analytical tools for divisional product teams and senior leadership.
• Translate operational questions into metrics, dashboards, and analyses for executives.
• Collaborate cross-functionally with Corporate Planning & Operations, Revenue Operations, Corporate Technology, and Data Engineering & Platform teams to understand tools, taxonomies, and ontologies.
• Create and iterate on solutions that last with stakeholder feedback and durable architecture.

Skills

Data analytics

Software engineering

Management information systems

Python

SQL

React

TypeScript

Tools

Palantir Foundry

Databricks

Jira

Airtable

Job description

Anduril Industries is seeking a Data Operations Engineer to architect, build, and deploy critical tooling across our hardware and software portfolio. You will bridge the CEO Office and product teams, delivering analytics solutions and centralized dashboards that reveal data-driven insights for executives.

You will design actionable data products, connect ERP, PLM, MES with collaboration tools, and champion durable data architecture while iterating based on stakeholder feedback.