Senior Analytics Engineer, People Data
Core
Building and maintaining robust data infrastructure to transform raw HR data into clean, analytics-ready datasets for strategic workforce insights.
Role type
Senior Analytics Engineer (People Data)
Builds
Scalable people data platform and tooling for the People Analytics team
Domain
Defense technology / People Analytics
Deliverable
production ML models | product features
Required skills
SQL, Python, ETL/ELT pipeline design, dimensional modeling, cloud data warehousing, data orchestration, data quality governance
Preferred skills
Big data processing frameworks, infrastructure as code, BI tool integration, enterprise HRIS systems
Technologies
Snowflake, Google BigQuery, AWS Redshift, Databricks, Delta Lake, AWS S3, Azure Data Lake Storage, dbt, Apache Airflow, Flyte, Dagster, SQLMesh, Iceberg, Terraform, Docker, Kubernetes, Tableau, Power BI, Looker, Rippling, Workday, Oracle HCM Cloud
Responsibilities
Design and optimize ETL/ELT pipelines for diverse HR systems; develop and govern scalable data models and schemas; implement data quality checks and monitoring; partner with stakeholders to translate analytical needs into data solutions; document data processes and champion engineering best practices; enforce data security and privacy compliance.
Seniority
Senior, hands-on IC
