Data Engineer II, AWS DC Global Network Delivery

AWS Global Network Delivery Services keeps the cloud running. We own the delivery and operation of all AWS global infrastructure every data center every server every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We tackle some of the hardest supply chain and infrastructure problems on the planet with thousands of variables in play and were looking for exceptional people to help solve them.

Youll join a diverse cross-functional team Product BI network engineers planners builders and operations leaders worldwide collaborating across AWS to deliver the highest standards of safety and security while providing seemingly infinite capacity at the lowest possible cost. Youll work in an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Were seeking a talented Data Engineer who thrives with a startup mentality someone who moves fast thinks big and partners directly with business and senior leaders to turn ambiguous problems into clear data-backed recommendations.

What makes this role exciting You wont just move data from point A to point B youll build context through your pipelines. Youll own the context-driven source-of-truth tables that track the infrastructure delivery process across its full lifecycle from intake through deployment to decommission fueling analytics LLMs and business decisions. Youll manage the infrastructure behind those pipelines keeping it lightweight auditable and highly available. And youll partner closely with Data Engineering Product and Software teams to design pipelines that let business teams answer their own questions without waiting in a queue.

The ideal candidate is passionate about understanding the business and making an impact with data. You ask sharp questions design thoughtful data models and build relevant pipelines with low tech debt. You know great data engineering isnt about shipping pipeline after pipeline its about data quality governance and knowing your sources well enough to make the right trade-offs. Youll build well-documented context-rich datasets and self-service tools (new or reused) that put data directly in the hands of the people who need it most applying data mining data modeling and AI to evaluate business health and drive measurable improvement..


Key job responsibilities
- Know why youre building not just what. Ask sharp questions first understand your data and its significance reuse before you rebuild and set clear data contracts so data is always traceable to its source and correct.
- Own the design development and operation of scalable production-grade context-driven data pipelines including the infrastructure behind them keeping them lightweight cost-efficient auditable and highly available to power metrics reporting analytics and ML/LLM use cases.
- Build context-rich source of truth datasets and reusable dimensional data models that track the infrastructure delivery lifecycle (intake deployment decommission) serving as a trusted intuitive-to-query foundation for downstream consumers while keeping tech debt in check.
- Design data models and ETL/ELT workflows to ingest transform and integrate data from diverse sources using AWS services (e.g. S3 Redshift Glue EMR Athena Lambda) and internal Amazon data platform tools.
- Define and champion data quality/ engineering and governance best practices validation monitoring/alerting testing design standards documentation and governance to keep pipelines accurate trustworthy and well-maintained.
- Partner with Software Product and other Data Engineering teams to source and model the right business entities so any team can answer their own questions without waiting in a queue.
- Troubleshoot operational and data-quality issues with root-cause analysis and durable fixes; audit existing pipelines jobs and queries and recommend improvements to upstream sources for greater accuracy simplicity and scalability

About the team
We are the PAX Data and Analytics team a small high-conviction group of BI Engineers and Data Engineers embedded in one of the worlds largest and fastest-growing data center organizations. We were established less than a year ago with a clear mandate: **turn operational complexity into decision-ready clarity.**
We dont build data pipelines and dashboards . We build *context* the kind that lets leaders act with confidence and operators spot problems before they become incidents. Our work spans the full data lifecycle: sourcing and integrating raw operational signals engineering relevant and reliable pipelines and surfacing insights through self-service tools that hundreds of people rely on daily.
Every pipeline we ship every standard we define and every contract we establish becomes the foundation for what comes next
We are young we are scrappy and we are building something that will outlast us. If you want to lay foundations that an entire organization will stand on youre in the right place.

- 4 years of data engineering experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Information Systems Mathematics or a related field
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with SQL
- Experience working on and delivering end to end projects independently

- 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)
- Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 132100.00 - 178800.00 USD annually