Data Platform Engineer (Python)

About This Role

Design, build, and optimize high-performance Python systems for AI data pipelines and evaluation workflows as a Senior Python Full-Stack Engineer. Develop full-stack tooling and backend services for large-scale data annotation and quality control.

Responsibilities

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
• Participate in synchronous reviews to iterate on system design and implementation decisions

Requirements

• Native or fluent English speaker
• Full-stack developer experience with a strong systems programming background
• 5+ years of professional experience writing production Python for data engineering
• Proficiency with workflow orchestration tools to manage complex dependency graphs
• Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs
• Clear written and verbal communication skills
• Ability to commit 20–40 hours per week

Qualifications

• 5+ years of professional experience writing production Python for data engineering.

Nice to Have

• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling

Skills

* Required skills