Business Intelligence Engineer, Kuiper Global Service Compliance
Business Intelligence Engineer, Kuiper Global Service Compliance
Posted on :
03-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 89600 - 185000
Vacancy
1 Vacancy
Posted on :
03-08-2025
Job Description
We are seeking an exceptional Business Intelligence Engineer to join the Global Service Compliance (GSC) team supporting Amazons Project Kuiper. Amazons Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency high-speed broadband connectivity to unserved and underserved communities around the world.
We are looking for an enthusiastic Business Intelligence Engineer who is out of this world excited about technology data security enjoys being continually challenged and demonstrates sound judgment even in ambiguous situations.
Export Control Requirement:
Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
As a business intelligence engineer you will be collaborating with GSC and stakeholder teams to build automated and dynamic reports for external reporting and dashboards to support internal metrics and KPIs.
* Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance.
* Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 MWAA Lambda etc.).
* Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
* Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
* Build self-service reporting platforms establishing automated processes for large scale data analysis.
* Understand and write high quality queries to retrieve and analyze data (ongoing reporting and ad hoc requests).
This position may be based in Bellevue WA or Arlington VA. Some travel domestic and international may be required.
About the team
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
At Amazon our mission is to be the most customer-centric company on Earth. To get there we need exceptionally talented bright and driven people. Were dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures and were building an environment that celebrates knowledge sharing and mentorship.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience with large-scale data analytics and data warehousing
- Understanding of overall system architecture scalability reliability and performance in a database environment
- Experience with forecasting and statistical analysis
- Understanding of AWS Glue lake formation/Lambda/Athena/EventBridge.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for an enthusiastic Business Intelligence Engineer who is out of this world excited about technology data security enjoys being continually challenged and demonstrates sound judgment even in ambiguous situations.
Export Control Requirement:
Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
As a business intelligence engineer you will be collaborating with GSC and stakeholder teams to build automated and dynamic reports for external reporting and dashboards to support internal metrics and KPIs.
* Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance.
* Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 MWAA Lambda etc.).
* Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
* Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
* Build self-service reporting platforms establishing automated processes for large scale data analysis.
* Understand and write high quality queries to retrieve and analyze data (ongoing reporting and ad hoc requests).
This position may be based in Bellevue WA or Arlington VA. Some travel domestic and international may be required.
About the team
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
At Amazon our mission is to be the most customer-centric company on Earth. To get there we need exceptionally talented bright and driven people. Were dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures and were building an environment that celebrates knowledge sharing and mentorship.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience with large-scale data analytics and data warehousing
- Understanding of overall system architecture scalability reliability and performance in a database environment
- Experience with forecasting and statistical analysis
- Understanding of AWS Glue lake formation/Lambda/Athena/EventBridge.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
