Senior Data Engineer (Analytics & Applied AI)
Core
Build production data platforms on AWS that transform complex datasets into reliable analytics and applications, ensuring data correctness and auditability.
Role type
Senior Data Engineer (Analytics & Applied AI)
Builds
End-to-end cloud data pipelines, analytics layers, and application systems-of-record
Domain
Cloud Data Engineering & Applied AI
Deliverable
production ML models
Required skills
Production Python, Expert SQL, AWS data stack (Glue, Redshift, Lambda, etc.), Data modeling, Data-quality discipline, Infrastructure as code (Terraform/CDK), Agentic coding assistants, Analytics fluency
Preferred skills
Applied AI/ML (LLM, RAG, embeddings), Agent frameworks, Entity resolution, API development, DuckDB/Parquet/Iceberg/Delta, Regulated environment experience
Responsibilities
Own data platforms end-to-end from ingestion to application serving; Write production Python services and APIs; Design and orchestrate cloud data pipelines with quality gates; Implement data-quality and reconciliation checks; Drive architecture and technical decisions independently; Use agentic coding assistants effectively; Grow into applied AI/ML tasks like entity resolution and anomaly scoring
Seniority
Senior, high-autonomy IC
