Senior Data Engineer

Job Summary

To build a robust data foundation and governed AI services, the full-time Senior Data Engineer will design and operate data pipelines using Python and dbt, manage containerized workloads on Docker and Kubernetes in AWS, and collaborate with business teams to deliver effective solutions remotely.

Key responsibilities

• Design, build, and operate batch and incremental data pipelines while addressing issues at the source
• Deploy and manage agentic workflows in production, ensuring secure access to enterprise data and tools
• Collaborate with stakeholders to define problems and deliver solutions, while mentoring engineers to enhance team standards

Required qualifications

• 8+ years of professional data engineering experience with a proven record of managing production systems end to end
• Strong proficiency in Python for data processing and automation, along with hands-on experience in dbt
• Experience with Docker and Kubernetes for deploying and troubleshooting data workloads
• Solid AWS experience, particularly with core services for storage, compute, and security
• Advanced SQL skills and a comprehensive understanding of data modeling and performance tuning