Data Engineer DC Engineering Data Center Engineering Security Solutions

AWS Data Center Engineering is responsible for the design and planning of AWSs global data center infrastructure. In this role you will be a key part of the team that designs and delivers the physical security environment that hosts AWSs industryleading cloud services for our customers. This includes designing comprehensive data center security solutions that give our customers confidence their infrastructure is wellprotected. You will work on complex multifaceted challenges balancing a myriad of data points to raise the bar on physical security and reliability. If you thrive on tackling ambitious projects at scale this is an exceptional opportunity to make a significant impact.

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were 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 were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain 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. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The AWS Facility Operations Center (FOC) team is seeking a Data Engineer (DE) to serve as a technical resource and leader to drive the teams longterm vision within the Data Center Community (DCC).

Key job responsibilities
Designing developing deploying and documenting data management and business intelligence systems enabling our internal customers to manage the business and make effective decisions.
Building secure available scalable and costeffective data solutions using data storage technologies distributed file system data processing and business intelligence best practices.
Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing enterprise system data architecture data design (e.g. Logical and Physical Modeling) data persistence technologies data processing data management and data analysis.
Ensuring completeness and compatibility of the technical infrastructure to support system performance availability and architecture requirements
Reviewing and participating in testing of the data design tool design data extracts/transforms networks and hardware selections

About the team
The AWS Data Center Engineering team is looking for the ideal candidate who will draw upon exemplary analytical critical thinking and problemsolving skills and a passion for maintaining highly reliable distributed systems that operate 24/7/365.

As part of this team you will collaborate effectively with internal endusers crossfunctional software development teams and technical support/sustaining engineering teams to solve complex challenges and deliver against high operational standards of system availability and reliability. We seek engineers who are excellent communicators selfmotivated flexible hardworking and who like to have fun!

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

We value worklife 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 theres nothing we cant achieve in the cloud.

Here at AWS its in our nature to learn and be curious. Our employeeled 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 (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

5 years of data engineering experience
2 years of reparation of data for direct use in visualization tools like Tableau experience
2 years experience with data modeling warehousing and building ETL pipelines
2 years experience with CI/CD infrastructure CDK CloudFormation Terraform and at least one modern scripting or programming language such as Python

Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience building enduser facing tools using data visualization such as Quicksight Tableau or similar tools

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.