Provide technical leadership and analytical expertise in data engineering, modeling and simulation (M&S), and systems analysis
Manage the technical execution of complex readiness, sustainment, and logistics modeling efforts
Integrate multidisciplinary engineering methodologies to ensure model development, data management, and analytical outputs align with program objectives
Collaborate with software developers, data scientists, and product managers to understand requirements and align on project goals
Design and implement data solutions that support software development initiatives
Participate in planning sessions to develop data pipeline architecture that aligns with project requirements
Design data ingestion, transformation, and storage workflows that are scalable
Implement data quality checks and validation procedures to ensure data accuracy and integrity
Conduct comprehensive testing, ensuring application quality and functionality stay in specifications
Document data engineering processes and ensure accuracy and completeness of all documentation
Manage projects, including planning, execution, and delivery

5 to 8 years of experience using Orchestration tools (Apache Airflow) and data processing tools (Apache Spark)
Advanced knowledge of object storage and management of unstructured data
Experience utilizing cross-domain solutions in a secure environment
Advanced knowledge of containerization technologies supporting enterprise software deployment (Kubernetes, Docker, Helm, etc.)
Proficient knowledge of data engineering workflows such as extract, transform, load (ETL) processes and data warehousing
Advanced level knowledge of software development processes including Agile methodologies
Conversant with object-oriented programming languages
Excellent written and oral communication
Bachelor’s degree in engineering, science, or equivalent with demonstrated experience in technical/engineering leadership.

Senior Data Engineer – SIE

Key skills