Data Engineer II
Core
Build AI-native data infrastructure supporting real-time processing, semantic layers, and agentic AI systems for inference, training, and continuous learning.
Role type
Senior IC Data Engineer (AI/ML Infrastructure)
Builds
AI-enabled data products, real-time pipelines, semantic layers, and knowledge graphs
Domain
Cloud-native data engineering & AI/ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud-native data engineering, Real-time streaming, AWS services, Python, SQL, Infrastructure-as-code, Data modeling, ETL pipelines
Preferred skills
Knowledge graphs, GenAI/LLM integration, Vector databases, Data mesh, Feature stores
Technologies
AWS (EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune), Kafka, Flink, CDK, Terraform, Neo4j
Responsibilities
Engineer AI-native infrastructure for real-time data processing; Build semantic layers and knowledge graphs; Develop infrastructure for agentic AI systems; Implement GenAI-powered data quality and metadata management; Own end-to-end accountability for data products; Build self-service platforms with embedded governance; Manage AWS resources and build high-quality pipelines; Implement CDC and event-driven architectures; Deploy infrastructure-as-code.
Seniority
Senior, hands-on IC