Data Engineer
Core
Design, integrate, and maintain trusted data pipelines to power AI initiatives, generative AI, and core business workflows for enterprise customers.
Role type
Senior Data Engineer (AI/ML infrastructure)
Builds
Scalable data pipelines, data models, integrations, and data quality controls for analytics and automation.
Domain
Enterprise AI, Intelligent Automation, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, batch/streaming pipeline development, data modeling, database design, data governance, security principles, cross-functional collaboration, AI/ML initiative support, end-to-end architecture design
Preferred skills
Analytics engineering, financial acumen, executive presence, embedding AI/automation into operating environments
Technologies
Cloud environments, data warehouses, ETL/ELT tools
Responsibilities
Design and build scalable data pipelines; Partner with business and technology teams to define data requirements; Develop data models and quality controls; Ensure data reliability and governance; Work with AI engineers to prepare data for production; Monitor pipeline health and performance; Support metadata and documentation practices.
Seniority
Senior, hands-on IC
