People Data Analytics Engineer

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners Program Management Teams Business Operations Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience fuels organizational growth and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. Youll own the full data lifecycle from ensuring accurate ingestion and integration of diverse HR data sources to designing developing and optimizing data models and pipelines. Your primary objective will be to transform raw disparate information into clean reliable and analytics-ready datasets empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce enhance employee experience and drive data-driven decision-making. Success in this role requires a strong technical foundation meticulous attention to data quality and a passion for crafting efficient data solutions.

WHAT YOULL 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.
• 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 companys data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering Analytics 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.
• Bachelors 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 Qualifications:

• 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 Certified Data Analytics - Specialty Google Cloud Professional Data 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.

The salary range for this role is an estimate based on a wide range of 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 Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

Benefits

At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

Data Privacy

To view Andurils candidate data privacy policy please visit submitting your application you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk integrity and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists adverse media public-record information and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology intellectual property and organizational security.