Senior Analytics Engineer, People Data

Anduril Industries

Quick summary

Work type: On-site
Location: Boston, Massachusetts · Costa Mesa, California
Salary: $166,000–$220,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $193k

$113k most similar roles pay here $231k

This role pays more than 68% of similar roles. Most pay $135,000–$202,165 — the shaded band above. At the midpoint, this role pays about $193k versus about $169k 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 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Senior Analytics Engineer, People Data

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As a Senior Analytics Engineer on the People Data & Analytics team in Boston or Costa Mesa, you will be responsible for building and maintaining robust data infrastructure that powers strategic insights into workforce optimization. Your day-to-day tasks include designing and optimizing ETL/ELT pipelines to ingest diverse HR data from systems like HRIS, ATS, and LMS, developing scalable data models, and ensuring data quality through rigorous checks and documentation. You will work closely with People Analysts and other stakeholders to translate their analytical needs into efficient data solutions, while also championing best practices in data engineering such as version control and CI/CD. The role requires expertise in SQL, Python, cloud-based data warehousing (Snowflake, BigQuery), and modern ETL tools like dbt and Apache Airflow, with a focus on ensuring data security and compliance with regulations like GDPR and CCPA.

Skills

SQL Python Snowflake Google BigQuery AWS Redshift Databricks Delta Lake dbt Apache Airflow Flyte CI/CD Terraform Kubernetes Tableau Power BI Looker Apache Iceberg Palantir Foundry Rippling API Workday API Oracle HCM Cloud API

What you'll do

Design and optimize ETL/ELT pipelines for diverse HR data sources.
Develop and maintain scalable data models and schemas for people analytics.
Implement data quality checks and troubleshoot issues to ensure data reliability.
Monitor and enhance the performance and scalability of data infrastructure.
Create comprehensive documentation for data processes and champion best practices.
Enforce strict data security measures compliant with regulations like GDPR, CCPA.
Collaborate on aligning data architecture standards across enterprise analytics teams.

What we're looking for

5+ years of experience in Data Engineering or Analytics Engineering.
Expert proficiency in SQL and advanced Python for data manipulation.
Extensive experience with cloud-based data warehousing solutions like Snowflake.
Deep expertise in designing and maintaining robust data models.
Hands-on experience building complex ETL/ELT processes using modern tools.
Strong technical foundation in data engineering, including cloud platforms.
Bachelor's degree in Computer Science, Engineering, or related field.

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