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Description

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.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services (“AWS”) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. We are growing quickly and dynamically, including in our global data center footprint. This role is part of the Infrastructure Global Strategy and Planning team, which is responsible for our strategy for data center expansion for edge infrastructure.

In this role, you will build data automation systems to transform interconnect capacity planning across locations. You will create data pipelines and analytics frameworks for infrastructure metrics, while developing Extract, Transform, and Load (ETL) processes to integrate data from heatmaps, CloudForge, build plans, and financial systems. Your work will support both current optimization and long-term planning through data models that connect data center architectures with network designs.

Your main task will be building automated workflows that replace manual processes. This includes creating monitoring systems for capacity constraints, alerts for capacity thresholds, visualization dashboards, and forecasting models. Your work will improve infrastructure cost optimization and growth planning through data-driven insights.

The role requires collaboration with infrastructure teams to capture data requirements and with business stakeholders to convert metrics into actions. You will deliver automated data integration systems, analytics platforms for capacity monitoring, forecasting models, and infrastructure health metrics. By combining data engineering skills with infrastructure planning knowledge, you will build systems that reduce costs and enable network scalability. This role will shape how we use data for infrastructure decisions, requiring both data engineering expertise and understanding of infrastructure planning.

Key job responsibilities

- Build automated data pipelines to collect and analyze infrastructure metrics from multiple sources

- Design and implement ETL workflows to integrate data from heatmaps, CloudForge, build plans, and financial systems

- Develop monitoring systems and dashboards for real-time infrastructure capacity tracking

- Create predictive models for capacity planning and cost optimization

- Automate manual data collection and analysis processes

- Partner with infrastructure teams to deliver data-driven planning insights

- Developing APIs for data integration across multiple platforms

A day in the life

A Data Engineer in Edge Infrastructure enables data-driven decisions for one of the world's largest edge networks, transforming raw infrastructure data into actionable insights for capacity planning and optimization. You'll monitor automated data pipelines processing metrics from hundreds of edge sites, design predictive analytics for capacity forecasting, and build machine learning models to identify cost-saving opportunities. Working closely with infrastructure teams, you'll create visualization tools, implement automated alerts, and develop APIs for data access. Your solutions will help transform infrastructure planning from manual analysis to automated, data-driven decision-making, directly impacting Amazon's ability to optimize its global edge network.

About the team

Within AWS Networking, the Internet Edge organization is responsible for connecting Amazon to Internet. With connections to thousands of unique external networks in hundreds of locations across the world, our mission is to deliver an internet-connectivity experience that sets the global standard for performance, availability, security, and cost, making Amazon the clear choice for customers’ needs. Our team provides high-performing internet connectivity for a wide range of use cases, such as retail (amazon.com), video streaming (Prime Video), content delivery (CloudFront), DNS (Route53), AWS services (such as EC2/S3), consumer devices (such as FireTV/Kindle/Echo), and more.

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.

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.

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

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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.

Basic Qualifications

- 3+ years of data engineering experience

- Experience with data modeling, warehousing and building ETL pipelines

- Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages

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)

- Experience with infrastructure metrics, capacity planning, or network data analysis

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.