Senior Data Engineer (Enterprise Operations)
Core
Design, build, and optimize scalable data pipelines and infrastructure to enable reliable, timely, and secure access to data across the enterprise for advanced analytics, AI/ML initiatives, and critical business operations.
Role type
Senior IC data engineer (enterprise operations)
Builds
ETL/ELT pipelines, data storage solutions (relational databases, data lakes, warehouses), and data platforms
Domain
Aerospace/Defense + Data Engineering
Deliverable
production ML models
Required skills
SQL, Python/Java/Scala, Apache Airflow, Spark, Kafka, cloud platforms (AWS/Azure/GCP), data modeling, data warehousing, database design
Preferred skills
streaming data architectures, real-time data processing, containerization (Docker/Kubernetes), Infrastructure-as-Code (Terraform)
Technologies
Apache Airflow, Spark, Kafka, AWS, Azure, GCP, Docker, Kubernetes, Terraform
Responsibilities
Design and maintain robust, scalable ETL/ELT pipelines; Architect and optimize data storage solutions; Implement data quality checks, monitoring, and alerting; Lead efforts to improve pipeline performance, scalability, and cost-efficiency; Mentor junior data engineers; Collaborate cross-functionally to support integration of new data sources
Seniority
Senior, hands-on IC
