Senior Data Engineer, Applied AI Solutions

The newest business group in AWS Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazons operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day putting AI to work delivering better customer experience operational excellence and speed.

We are seeking a Senior Data Engineer to design build and maintain our next-generation data infrastructure - one that seamlessly serves both human analysts and AI systems. This role sits at the intersection of traditional enterprise data warehousing and innovative AI technologies requiring someone who can bridge these worlds to create a unified future-proof data ecosystem.

As a key member of our data team youll collaborate across organizational boundaries with data scientists engineers analytics teams and business stakeholders to develop innovative and scalable solutions that push the boundaries of whats possible with our data assets.

Youll be responsible for ensuring our datasets maintain the highest levels of accuracy consistency and observability - implementing comprehensive monitoring lineage tracking and self-healing mechanisms that maintain data quality at scale. Your infrastructure will support both analysts / scientists and autonomous AI agents with equal effectiveness requiring thoughtful interfaces documentation and metadata that serve both audiences.

In this role youll champion a forward-thinking approach to data infrastructure that anticipates the evolving needs of AI systems while maintaining the reliability and performance that business operations demand. Youll help shape our technical roadmap for data systems that will serve as the foundation for our organizations AI transformation journey.

Key job responsibilities
- 5 years of data engineering building and operating production pipelines and warehouses.
- Experience building data infrastructure that serves AI systems and autonomous agents not just human analysts including machine-consumable interfaces metadata and documentation.
- Experience with GenAI data patterns end to end: chunking embeddings and vector stores for retrieval-augmented generation.
- Experience building and maintaining datasets and feature pipelines for ML/GenAI training fine-tuning and inference (Amazon SageMaker Bedrock or equivalent).
- Experience implementing data quality lineage and observability that AI workloads depend on including validation freshness/anomaly monitoring and alerting at scale.
- 5 years of Python (or Scala/Java) and advanced SQL including performance tuning at scale.
- Experience with batch and streaming ETL/ELT on AWS (Glue EMR/Spark S3 Athena) and a production cloud data warehouse (Amazon Redshift or equivalent).
- Experience designing data models and schemas for analytical operational and AI/retrieval workloads.
- Experience with workflow orchestration (Step Functions Airflow or Glue Workflows).

- 7 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience with MPP databases such as Amazon Redshift
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience building data infrastructure that serves AI systems and autonomous agents not just human analysts including machine-consumable interfaces metadata and documentation.
- Experience with GenAI data patterns end to end: chunking embeddings and vector stores for retrieval-augmented generation.
- Experience building and maintaining datasets and feature pipelines for ML/GenAI training fine-tuning and inference (Amazon SageMaker Bedrock or equivalent).
- Experience implementing data quality lineage and observability that AI workloads depend on including validation freshness/anomaly monitoring and alerting at scale.

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
- Knowledge of distributed systems as it pertains to data storage and computing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 154600.00 - 209100.00 USD annually