Data Engineer
Core
Design, develop, and evolve data pipelines and data products for future data solutions in the defense sector.
Role type
Senior Data Engineer
Builds
Innovative, business-critical, and society-important data products
Domain
Defense industry + Data Engineering
Deliverable
production ML models
Required skills
Python, data modeling, Medallion and Lakehouse architectures, ETL pipelines (PySpark), Databricks, Delta tables, Parquet, S3 bucket architecture, Airflow, cloud platforms (AWS/Azure/GCP), data quality frameworks, data testing
Preferred skills
Agile methodologies
Technologies
PySpark, Databricks, Airflow, AWS, Azure, GCP, Delta tables, Parquet, S3
Responsibilities
Design and develop data pipelines, evolve data products, solve complex problems with robust and scalable data solutions
Seniority
Senior, hands-on IC
Sourced via jobtech · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.