Job Abstract

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 requires that the candidate selected be a US Citizen and must currently possess an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.

We are open to hiring candidates to work out of one of the following locations:

Denver, CO, USA | Herndon, VA, USA | Seattle, WA, USA

- 1+ years of data engineering experience
- Associate's degree, or GSEC (GIAC Security Essentials)
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Current, active US Government Security Clearance of TS/SCI or above

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $81,000/year in our lowest geographic market up to $185,000/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.