Data Engineer II

FBA is seeking a Data Engineer to 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 building next-generation intelligent data platforms, this role is for you.

Core Responsibilities:

AI-Native Infrastructure & Real-Time Processing

• Engineer AI-native infrastructure supporting real-time data processing for AI/ML inference, training, and continuous learning
• Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access
• Develop infrastructure for agentic AI systems with multi-agent orchestration
• Implement GenAI-powered data quality, entity resolution, and metadata management

Data-as-a-Product Delivery

• Own end-to-end accountability for data products from ingestion to consumption
• Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures
• Build self-service platforms with embedded governance, lineage, and discovery
• Establish data contracts and APIs for reliable, versioned data consumption

AWS Infrastructure & Pipeline Engineering

• Manage AWS resources: EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune
• Build high-quality 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

• 5+ years in data engineering with cloud-native architectures
• Strong AWS expertise (Redshift, S3, Glue, Kinesis, EMR)
• Proven experience with real-time streaming (Kafka, Kinesis, Flink)
• Hands-on AI/ML infrastructure experience (SageMaker, Bedrock)
• Proficiency in Python, SQL, and 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