Staff Implementations Data Engineer
Core
Design, develop, and maintain distributed big-data pipelines for network analysis, ML, and data fusion to power a global supply chain platform.
Role type
Staff Implementations Data Engineer (Technical Lead)
Builds
Scalable data ingestion, standardization, and fusion pipelines for public sector and enterprise customers.
Domain
Supply chain analytics, public sector compliance, big data engineering.
Deliverable
production ML models
Required skills
Distributed data pipeline design, data modeling, cloud infrastructure management, technical leadership, security compliance, cross-functional collaboration.
Preferred skills
ML pipeline deployment, data platform management, trade compliance knowledge, public sector experience, AI tool usage.
Technologies
Python, Spark, SQL, AWS, Azure, Kubernetes, Docker, Terraform, Databricks, OpenSearch, Postgres.
Responsibilities
Develop and deploy distributed big-data pipelines; drive technology scalability; support platform reliability and security accreditations; serve as technical expert in client meetings; mentor engineers; evaluate new tools and best practices.
Seniority
Staff, hands-on IC with leadership responsibilities.
