People Data Analytics Engineer

Anduril Industries

Costa Mesa, California, United States
Base: $146,000 - $210,000 usd; bonus/equity: highl...
On-site
5-7 years data engineering experience
Expert sql and python proficiency
Cloud data warehousing (snowflake/bigquery)
Anduril Industries is seeking a People Data Analytics Engineer to enhance their workforce analytics capabilities. The ideal candidate will have extensive experience in data engineering, particularly with HR data, and will be responsible for building and maintaining data pipelines that drive strategic insights within the organization

Job Summary

  • Anduril Industries is transforming military capabilities by leveraging advanced AI and data-driven technologies through its Lattice OS platform.
  • This role involves owning the full data lifecycle to transform raw HR data into reliable, analytics-ready datasets for strategic decision-making.
  • The position requires implementing strict data security measures to ensure compliance with regulations like GDPR and CCPA while protecting employee privacy.

Matching Summary

Match Score: 85

Anduril Industries is seeking a People Data Analytics Engineer to enhance their workforce analytics capabilities. The ideal candidate will have extensive experience in data engineering, particularly with HR data, and will be responsible for building and maintaining data pipelines that drive strategic insights within the organization.

Salary

Base: $146,000 - $210,000 USD; Bonus/Equity: Highly competitive equity grants included; Benefits: Top-tier benefits package available at little to no cost

Skills & Requirements

Must-have

  • 5-7 years Data Engineering experience
  • Expert SQL and Python proficiency
  • Cloud data warehousing (Snowflake/BigQuery)
  • ETL/ELT pipeline development
  • Dimensional modeling expertise

Nice-to-have

  • Experience with Palantir Foundry or SQLMesh
  • Knowledge of HRIS systems like Workday
  • Familiarity with Apache Spark or Flink
  • Infrastructure as Code (Terraform/Docker)
  • BI tool integration experience

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 5-7 years progressive experience in Data Engineering
  • Strong technical foundation in cloud platforms

Work Rights

Not specified

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