Agentic Data Engineer, Frontier AI Tooling

Amazon Inc.; Austin (TX); Hybrid; USD 132,000 - 179,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Data Engineer to own data foundations for Frontier AI tooling and ProServe initiatives.

You will design, build and operate data pipelines that ingest external and internal data, turning them into reliable, well‑modeled datasets for AI agents at scale. You will model data structures, ensure data lineage, and partner with software engineers and product managers to deliver high‑impact analytics capabilities across AWS Sales teams.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of ETL/ELT design and operation for BI analytics.
• 1+ years of data modeling for large datasets.
• Bachelor's degree or foreign equivalent in CS/Engineering/IS/Math or related field.
• Experience writing and optimizing SQL queries over large datasets.

Responsibilities

• Own end-to-end delivery of data pipelines: design, build, test, deploy, and operate.
• Build and optimize ETL/ELT jobs to produce foundational datasets for products.
• Model structured and unstructured data so it is queryable for AI agents at scale.
• Design data structures, schemas, and contracts used by downstream services.
• Develop data-quality tooling for validation, reconciliation, anomaly detection, and monitoring.
• Ship to production in a high-ambiguity environment, balancing speed and reliability.
• Raise operational hygiene with data tests, monitoring, and runbooks.

Skills

Data engineering

Data modeling

SQL proficiency

Education

Bachelor's degree in Computer Science or related field

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Job description

Agentic Data Engineer, Frontier AI Tooling

Job ID: 10577269 | Amazon Web Services, Inc.

Do you want to build the products that help AWS ProServe 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 ProServe, 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.

You will build and operate the pipelines and datasets that feed the context layer and agentic workflows: ingesting external insights, internal data, and insights collected by sales and delivery teams, and turning them into reliable, well-modeled datasets that models and agents can reason over. You design data models, ETL, and integration services that are flexible, extensible, and scalable, then support and grow them over time. This is a hands‑on role where the playbook is written in real time. You ship to production and own the correctness of the data that downstream agents depend on.

You are comfortable with ambiguity and partner with business leaders to build the pipelines that answer their key questions. You will unify fragmented data pipelines, build robust data models, and ensure reliable data lineage across multiple product areas, working closely with software engineers, product managers, and analytics teams. This is a role with high visibility to senior leadership and high opportunity for impact.

Key job responsibilities

• 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 the team

Diverse Experiences

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.

Why AWS

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.

Work/Life Balance

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.

Inclusive Team Culture

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.

Mentorship and Career Growth

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.

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

Basic Qualifications

• 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

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 https://amazon.jobs/en/benefits .

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 https://amazon.jobs/en/benefits .

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

USA, TX, Austin - 132,100.00 - 178,800.00 USD annually

USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually

USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.