AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

The Global Network Deployment (GND) organization is looking to hire a Data Engineer to join our Intel & Reporting team (I&R) to support GND’s fast growing operations. The GND organization owns the delivery of physical network infrastructure for core data centers and Edge points-of-presence (Po Ps) globally through planning, deployment, and process optimization.

As a Data Engineer on this team, manage and create the infrastructure required to drive efficiency in data ingestion and transformation processes working with the source SDE teams and partner DE team across DCC for the data required for GND. You will work collaboratively with BIE's, business leaders and TIPMS teams on many non-standard and unique business problems and support business initiatives by enabling them to query data and build appropriate metrics.

The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.

Key job responsibilities

• Data-as-a-Product Delivery

• Own end-to-end accountability for data pipelines from ingestion to consumption

• Deliver data pipelines with clear SLAs, quality metrics, and customer satisfaction measures

• Build self-service platforms with embedded governance, lineage, and discovery

• Establish Gen AI powered data contracts and SLA's for reliable, versioned data consumption and meta data management

• Develop infrastructure for agentic AI systems with multi-agent orchestration

• AWS Infrastructure & Pipeline Engineering

• Manage AWS resources: S3, Redshift, Kinesis, Sage Maker, Bedrock

• Build high-quality pipelines supporting BIE's, TIPMS and AI agents

• Implement CDC and event-driven architectures for tracking data availability

• Deploy infrastructure-as-code using CDK/Terraform

About the team
AWS Global Network delivery Team supports all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

Basic Qualifications

• 3+ years of data engineering experience

Preferred Qualifications

• 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.

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

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