Data Engineer I

FBA is seeking a Data Engineer to help build AI-native data infrastructure that embeds intelligence as a foundational feature. If you enjoy innovating and want to contribute to an industry-changing business while supporting next-generation intelligent data platforms, this role is for you.

Core Responsibilities

AI-Native Infrastructure & Real-Time Processing

• Support the development of AI-native infrastructure for real-time data processing supporting AI/ML inference, training, and continuous learning
• Contribute to building semantic layers and knowledge graphs that enable intelligent query routing and context-aware data access
• Assist in developing infrastructure components for agentic AI systems with multi-agent orchestration
• Implement GenAI-powered data quality checks, entity resolution pipelines, and metadata management workflows

Data-as-a-Product Delivery

• Contribute to end-to-end data product delivery from ingestion to consumption
• Support data products with clear SLAs, quality metrics, and customer satisfaction measures
• Help build self-service platforms with embedded governance, lineage, and discovery
• Implement data contracts and APIs for reliable, versioned data consumption

AWS Infrastructure & Pipeline Engineering

• Work with AWS resources: EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune
• Build and maintain pipelines supporting analysts, data scientists, and AI agents
• Implement CDC and event-driven architectures for real-time data availability
• Deploy infrastructure-as-code using CDK/Terraform

Required Qualifications

• 3+ years in data engineering with cloud-native architectures
• Working knowledge of AWS services (Redshift, S3, Glue, Kinesis, EMR)
• Experience with real-time streaming technologies (Kafka, Kinesis, or Flink)
• Exposure to AI/ML infrastructure (SageMaker, Bedrock)
• Proficiency in Python, SQL, and familiarity with infrastructure-as-code

Preferred Qualifications

• Knowledge graphs (Neptune, Neo4j) and semantic layers
• GenAI applications and LLM integration patterns
• Vector databases and feature stores
• Data mesh and domain-oriented architecture
• Help build the foundational infrastructure powering next-generation AI-enabled data products at Amazon FBA.