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.

- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.