Senior Analytics Engineer, People Data

Anduril Industries

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Quick summary

Work type
On-site
Location
Boston, MACosta Mesa, CA
Salary
$183,000–$243,000 / yr
Posted
154 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $213k
$132k $255k
below market most similar roles pay here above market

This role pays more than 69% of similar roles. Most pay $147,800–$230,737 — the blue band above. At the midpoint, this role pays about $213k versus about $189k 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 901 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 858 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Senior Analytics Engineer, People Data

The Senior Analytics Engineer, People Data joins the People Analytics team to build and maintain the robust data infrastructure powering strategic workforce insights. This role involves owning the full data lifecycle, including designing and optimizing ETL/ELT pipelines to ingest diverse HR data from systems like HRIS, ATS, and LMS. You will develop scalable data models, schemas, and ontologies to transform raw information into analytics-ready datasets for stakeholders. Key technologies include SQL, Python, Snowflake, Google BigQuery, AWS Redshift, Databricks, and orchestration tools like dbt, Flyte, and SQLMesh. You will ensure data quality, security, and compliance with regulations like GDPR and CCPA. The work focuses on solving complex HR data problems to enhance employee experience and drive data-driven decision-making across the entire employee lifecycle.

What you'll do

  • Design, build, and optimize ETL/ELT pipelines to ingest and transform diverse HR data from systems like HRIS and ATS.
  • Develop and govern scalable data models, schemas, and ontologies to ensure data quality and consistency for people analytics.
  • Translate analytical needs from HR Business Partners and stakeholders into robust, well-documented data solutions.
  • Implement and monitor data quality checks to identify discrepancies and ensure the integrity of people data.
  • Monitor data pipeline performance to identify bottlenecks and implement solutions for infrastructure scalability.
  • Create comprehensive documentation for data pipelines and processes while championing engineering best practices like CI/CD and version control.
  • Enforce strict data security measures and ensure all data handling complies with privacy regulations like GDPR and CCPA.
  • Align with enterprise data architecture standards to integrate people data with other business domains.

What we're looking for

  • 5+ years of progressive experience in Data Engineering, Analytics Engineering, or a similar role building data pipelines and infrastructure.
  • Expert-level proficiency in SQL for complex data manipulation and advanced Python for scripting, data processing, and automation.
  • Extensive experience with cloud-based data warehousing solutions like Snowflake, Google BigQuery, AWS Redshift, or Databricks/Delta Lake.
  • Proven experience designing and maintaining robust data models using dimensional modeling or Kimball methodology for analytical purposes.
  • Hands-on experience building and optimizing ETL/ELT processes using tools such as dbt, Apache Airflow, Flyte, or Dagster.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
  • Excellent communication skills to translate technical concepts for non-technical stakeholders and collaborate across diverse teams.
  • Experience with big data frameworks, cloud certifications, or specific HRIS systems like Workday or Oracle HCM Cloud (preferred).

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