Infrastructure Operations Data Engineer

Job summary
As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services (AWS) Data Center Infrastructure Operations organization.
The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to: Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.


You should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dash boarding.


The Business Intelligence Data Engineer will:
· Primarily support teams within the Infrastructure environment, and long term will have opportunities to support teams in the overall Amazon Web Services community.
· Build ETLs to ingest the data into the data warehouse and datalake, as well as end-user facing reporting applications.
· Develop, implement and maintain the metrics and reports to enable decision support systems for the organization. This includes working with other teams to develop those metrics from their services.
· Partner with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.

This position can be located in Herndon, VA; Denver, CO; or Seattle, WA.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

This position requires that the candidate selected be a US Citizen and must currently possess an active TS/SCI security clearance with polygraph and satisfy other security related requirements.

In compliance with the U.S. government requirement that employees of its contractors, and employees who work on or in connection with U.S government contracts must receive the COVID-19 vaccine, this position may require that the candidate selected be fully vaccinated against COVID-19. A person is considered fully vaccinated by completing the full regimen of the COVID-19 vaccine (two doses for Pfizer or Moderna and one dose for Johnson & Johnson).

The pay range for this position in Colorado is $115,000-$160,000/YR. however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus, clearance bonus, and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Basic Qualifications

· Bachelor’s Degree in Computer Science, Information Systems, Mathematics, Statistics, or related field or equivalent experience
· 1-3+ year experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
· 1-3+ year experience in the design, creation, management, and business use of large datasets.
· Current, active US Government Security Clearance of TS/SCI with Polygraph

Preferred Qualifications

· Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
· Experience with writing SQL scripts
· Experience with enterprise-class Business Intelligence tools such as Microstrategy, PowerBI, Tableau, Oracle BI, Pentaho, AWS Quicksight, etc.
· Experience communicating with business owners to understand their data and reporting requirements.
· Experience with data presentation skills to summarize key findings and communicate with both business and technical teams.
· Experience working in a Linux environment
· Experience with scripting language such as Python, Perl, Ruby or Javascript
· Experience with MPP databases such as Redshift
· Experience with Datalake development
· Knowledge of predictive/advanced analytics and tools (such as R, SAS, Matlab)
· Knowledge of noSQL databases (such as DynamoDB, MongoDB)
· Knowledge in an enterprise class RDBMS
· Knowledge of AWS products and services
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.





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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.