Senior Analytics Engineer, People Data

About Anduril Industries Anduril is not a traditional defense contractor. We are shaping the future of defense, transforming US & allied military capabilities with advanced technology. We emphasize speed and results and control our products from start to finish, including funding R&D to selling finished products off the shelf. Today, Anduril is in a rapid growth phase, deploying technology in diverse locations and developing path-making products that will change defense forever. We believe that everyone at Anduril can be a catalyst. Your perspective can change lives, and we want to help you make your mark. Our team includes thinkers and doers working interdependently. We bring the brightest minds and best-in-class talent together with veterans who have lived the problems of our warfighters. If you like building quickly and seeing your work deployed in the real world, we want you at Anduril. With offices in Orange County, Washington DC, Seattle, Boston, Atlanta, London, and Sydney, our reach is wide. Check out our careers page at https://www.anduril.com/careers or send us an email at careers@anduril.com.

• 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.
• 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.

Required

• Engineering, or a similar role focused on building and optimizing data
• pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying,
• and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g.,
• Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data
• lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and
• maintaining robust data models (e.g., dimensional modeling, Kimball
• methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and
• data pipelines using modern tools such as dbt, Apache Airflow, Flyte,
• Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to
• translate technical concepts for non-technical stakeholders and collaborate
• effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information
• Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL,
• Python, and experience working with cloud-based data platforms (e.g., AWS,
• GCP, Azure).

Preferred

• Experience with big data processing frameworks (e.g., Apache Spark, Flink)
• and advanced data warehousing features like schema evolution or time travel
• (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir
• Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and
• transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS
• Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes
• for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g.,
• Tableau, Power BI, Looker) to optimize dashboard performance and data
• accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like
• Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems
• (HRIS, ATS, LMS), with a strong interest in People Analytics.
• US Salary Range
• $183,000—$243,000 USD
• compensation factors, inclusive of base salary only. Actual salary offer may
• vary based on (but not limited to) work experience, education and/or training,
• critical skills, and/or business considerations. Highly competitive equity
• grants are included in the majority of full time offers; and are considered part
• of Anduril's total compensation package. Additionally, Anduril offers top-tier

• At Anduril, we invest in our people. Our comprehensive, competitive benefits
• package (available at little to no cost to employees) ensures you’re supported
• in health, recovery, and whatever comes next. For more information, Explore Our
• Benefits [https://www.anduril.com/careers].
• Anduril is committed to maintaining the integrity of our Talent acquisition
• process and the security of our candidates. We've observed a rise in
• Anduril representatives, luring job seekers with false interviews or job offers.
• These scammers often attempt to extract payment or sensitive personal
• information.
• To ensure your safety and help you navigate your job search with confidence,
• No Financial Requests: Anduril will never solicit payment or demand personal
• financial details (such as banking information, credit card numbers, or
• social security numbers) at any stage of our hiring process. Our legitimate
• recruitment is entirely free for candidates.
• Direct from Anduril: If you receive an email from one of our recruiters, it
• will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril
• role, their email will clearly identify their agency. If you suspect any
• suspicious activity, please verify the agency's authenticity by reaching
• out to contact@anduril.com [contact@anduril.com].
• Exercise Caution with Unsolicited Outreach: If you receive any communication
• that appears suspicious, contains grammatical errors, or makes unusual
• requests, do not engage. Always confirm the sender's email domain is
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• What to Do If You Suspect Fraud: Should you encounter any questionable or
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