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Data Engineer II, Data Engineer,Data Center Capacity Delivery

Amazon


Job Location:

Seattle, OR - USA

Yearly Salary: USD 132100 - 178800
Posted: 17 September 2026 (20 hours ago)
Application Deadline: 15 December 2026
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

AWS Data Center Capacity Delivery (DCCD) is looking for a Data Engineer to support data center construction globally. We work on the most challenging problems with thousands of variables impacting the data center delivery and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers construction specialists security experts operations managers and other vital roles. Youll 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. Youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Were looking for Data Engineer to help us grow our Data Lake and Data Warehouse Systems which is being built using a serverless architecture with 100% native AWS components including Redshift Spectrum Athena S3 Lambda Glue EMR Kinesis SNS CloudWatch and more! We own a world-class data lake that is used to drive multi-billion dollar decisions on a regular cadence and were looking to improve on filling the lake quickly with as little human intervention needed and democratize the data in the lake.

Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering data management data storage data compute and distributed systems. We are passionate about solving business problems with data!


Key job responsibilities
- Design and implement scalable fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract transform and load data from multiple sources leveraging and implementing AI solutions as required.
- Collaborate cross-functionally with BIEs Data Scientists PMs and SDEs to understand data requirements and deliver customized data solutions.
- Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.
- Ensure data quality through robust validation cleansing and deduplication techniques.
- Implement data governance standards including access control encryption data retention deletion policies and audit mechanisms to ensure compliance and security.
- Continuously improve and optimize data pipelines and infrastructure staying up to date with emerging technologies and implementing automation and monitoring tools.
- Build a scalable and reliable data platform supporting analytics for intuitive self-service data products.
- Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data
- Work with a range of data technologies including Python EMR Spark Iceberg Airflow and many AWS data services like Glue Athena Redshift to create end-to-end pipelines that consolidate data from disparate systems.

About the team
DCCD -CAT is a central data and analytics team within the DCCD tooling org that plays a pivotal role in supporting analytics for data center construction space suporting costcontrols and commissioning domains. We own data platform reporting dashboards measurement and analytical solutions for DCCD org.

- Bachelors degree
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with Apache Spark / Elastic Map Reduce

- 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)
- Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
- Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience in translating business needs into detailed feature requirements

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


Required Experience:

IC


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