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Amazon · 20 hours ago

Data Engineer II, Amazon Leo AI Foundations

Redmond, WA

Full-time

Onsite

Mid Level

$119K/yr - $206K/yr

3+ years exp

Amazon is a leading technology company focused on delivering fast, reliable internet connectivity through its low Earth orbit satellite network, Amazon Leo. The Data Engineer II will design and implement systems that support real-time analytics and AI capabilities, ensuring high-quality internet service to various customers.

Artificial Intelligence (AI)DeliveryE-CommerceRetail

No H1B

U.S. Citizen Only

Responsibilities

Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources

Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer

Establish metadata management with automated data classification and lineage tracking

Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates

Architect a centralized metrics repository that becomes the source of truth for all Leo metrics

Implement robust data quality frameworks with staging-first policies and automated validation pipelines

Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns

Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails

Lead the design of semantic data models that balance analytical performance with AI retrieval requirements

Implement cross-domain federated query capabilities with sophisticated query optimization techniques

Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times

Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval

Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards

Qualification

Data engineeringETL/ELT processesOLAP technologiesData modelingSQLOracleAWS technologiesNon-relational databases

Required

3+ years of data engineering experience

3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience

3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience

3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience

3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience

3+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience

Experience with data modeling, warehousing and building ETL pipelines

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum