Senior Data Engineer
Core
Design, build, and operate scalable data pipelines, warehouses, and lakes to power analytics, AI, and production ML systems.
Role type
Senior Data Engineer (AI/ML infrastructure)
Builds
Production-ready data pipelines, data warehouses, data lakes, feature stores, and RAG data preparation flows for AI/ML systems.
Domain
Cloud data engineering, AI/ML infrastructure, Enterprise data warehousing
Deliverable
production ML models
Required skills
SQL, Python, Cloud data platforms, ETL/ELT frameworks, Pipeline orchestration, Streaming platforms, Data modeling, Distributed systems, CI/CD, Container orchestration
Preferred skills
Data mesh, Data fabric, MLOps, BI tool integration, AI coding tools (Claude, Cursor)
Technologies
AWS, SQL, Python, Scala, ETL/ELT, Streaming platforms, Vector stores, Feature stores
Responsibilities
Design and implement scalable data pipelines end-to-end; Build and manage data warehouses and data lakes; Optimize data processing workflows; Implement data modeling and schema design; Implement data validation and monitoring; Design and build data pipelines for production AI/ML systems including embeddings and RAG data preparation.
Seniority
Senior, hands-on IC
