Agentic Data Engineer, Frontier AI Tooling

Job :  | Amazon Web Services, Inc.

Do you want to build the products that help AWS Pro Serve and Frontier AI teams understand customer needs, develop the right solutions, and deliver them at scale? We are looking for a Data Engineer to own the data foundations behind the products and experiences that span Pro Serve, Frontier AI, and services teams within AWS Sales, Marketing and Global Sales.

Your pipelines and datasets will let these teams deeply understand customer challenges, rapidly develop tailored solutions, and orchestrate delivery, directly accelerating how AWS delivers business outcomes to our customers.

• Own end-to-end delivery of data pipelines: design, build, test, deploy, and operate
• Build and optimize ETL/ELT jobs that produce the foundational datasets powering the team's products and agentic workflows
• Model structured and unstructured data (external insights, internal data, sales and delivery insights) so it is queryable and consumable by AI agents at scale
• Design the data structures, schemas, and contracts that downstream services and agents depend on
• Build and own data-quality tooling: validation, reconciliation, anomaly detection, and monitoring so bad data does not reach agents or models
• Ship to production regularly in a high-ambiguity environment, balancing speed against reliability
• Raise operational-excellence hygiene (data tests, monitoring, runbooks) for the pipelines you own
• Write clear data models, pipeline design notes, and runbooks a peer can act on

ABOUT AWS:

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience writing and optimizing SQL queries with large-scale, complex datasets

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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…