Senior Analytics Engineer, People DataActive$220K
The opportunity
Anduril Industries is a defense technology company with a mission to transform U. S.
What you'll do
Design, build, and optimize robust ETL/ELT pipelines to reliably ingest,: integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
Develop, maintain, and govern scalable and secure data models, schemas, and: ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
Contribute to the strategic design, development, and evolution of our people: data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
Partner closely with People Analysts, HR Business Partners, and other: stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
Implement and monitor data quality checks, identify discrepancies,: troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
Continuously monitor the performance of data pipelines and models,: identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
What they're looking for
- Create and maintain comprehensive documentation for data pipelines, models,: and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
- Implement and enforce strict data security measures and ensure all data: handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
- Collaborate with broader enterprise analytics and data engineering teams to: align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.
- + years of progressive experience in Data Engineering, Analytics Engineering,: or a similar role focused on building and optimizing data pipelines and data infrastructure.
