Data Engineer II, Global Network Delivery

Amazon • Seattle, WA

6d

About The Position

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 (PoPs) 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.

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.

Requirements

• 3+ years of data engineering experience
• strong communication skills and ability to prioritize effectively to ensure timelines are met
• self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail)

Nice To Haves

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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, SageMaker, 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

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed