About this role

Build, maintain, and extend scalable, reliable, AWS-native data pipelines to facilitate efficient client data onboarding.
Take full ownership of new client data integrations, translating varied data structures into standardized platform formats.
Provide robust production support, monitoring active pipelines, executing root-cause analyses, and deploying timely fixes to guarantee high availability.
Collaborate with backend engineers to support legacy pipeline components and ensure consistent data flow across environments.
Document system configurations, pipeline architectures, mapping schemas, and runbooks to facilitate team alignment.
Support essential compliance reporting and metadata tracking workflows.

5+ years of professional software development experience with a strong focus on Python and data engineering.
Proven track record of designing, building, and extending AWS-native data ingestion and onboarding pipelines.
Deep experience independently troubleshooting complex, high-volume production data workflows.
Experience onboarding new client data sources and managing complex data-transformation schemas.

Senior AI Data Engineer, Python Backend

Key skills