Senior Analytics Engineer, People Data

Anduril Industries

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Boston, MACosta Mesa, CA
Salary
$166,000–$220,000 / yr
Posted
108 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $193k
$122k most similar roles pay here $231k

This role pays more than 64% of similar roles. Most pay $132,437–$216,000 — the shaded band above. At the midpoint, this role pays about $193k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1697 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1504 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Senior Analytics Engineer, People Data

Senior Analytics Engineer, People Data joins the People Analytics team to build and maintain the robust data infrastructure powering strategic workforce insights. You will own the full data lifecycle by designing, developing, and optimizing ETL/ELT pipelines to integrate diverse HR data from systems like HRIS, ATS, and LMS into a central platform. The role involves creating scalable data models, ensuring high data quality, and implementing security measures for employee information. You will work with tools including SQL, Python, dbt, Flyte, SQLMesh, and Iceberg while utilizing cloud platforms such as Snowflake or BigQuery. By transforming raw, disparate information into reliable datasets, you solve the challenge of providing actionable insights to stakeholders regarding talent acquisition, development, and retention. Your work ensures that people strategy is data-driven through high-quality infrastructure and automated engineering best practices.

What you'll do

  • Design, build, and optimize ETL/ELT pipelines to integrate diverse HR data from systems like HRIS, ATS, and LMS.
  • Develop and govern scalable data models, schemas, and ontologies specifically for people analytics.
  • Translate stakeholder requirements into robust, well-documented, and reliable data solutions.
  • Implement and monitor automated data quality checks to ensure the integrity of employee information.
  • Monitor pipeline performance to identify bottlenecks and ensure infrastructure scalability.
  • Maintain comprehensive documentation for all data pipelines, models, and engineering processes.
  • Enforce strict data security measures and ensure compliance with privacy regulations like GDPR and CCPA.
  • Align with enterprise teams to integrate people data with other business domains across the company platform.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
  • 5+ years of progressive experience in Data Engineering, Analytics Engineering, or similar roles involving data pipelines and infrastructure.
  • Expert-level proficiency in SQL for complex manipulation and advanced Python for scripting and automation.
  • Extensive experience with cloud-based data warehouses like Snowflake, BigQuery, Redshift, or Databricks/Delta Lake.
  • Proven experience designing and maintaining robust data models using dimensional modeling or Kimball methodology.
  • Hands-on experience building ETL/ELT pipelines using tools such as dbt, Airflow, Flyte, or Dagster.
  • Strong communication skills to translate technical concepts for non-technical stakeholders across diverse teams.
  • Technical expertise in managing cloud platforms including AWS, GCP, or Azure.

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