New job, posted less than a week ago!
Job Details
Posted date: Sep 04, 2025
There have been 232 jobs posted with the title of Senior Business Intelligence Engineer all time at Amazon.There have been 232 Senior Business Intelligence Engineer jobs posted in the last month.
Location: Arlington, VA
Estimated salary: $160,050
Range: $117,300 - $202,800
Description
We are seeking an exceptional Senior Business Intelligence Engineer to join the Global Service Compliance (GSC) team supporting Amazon’s Project Kuiper. Amazon’s 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 Senior 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
Collaborating with GSC to accomplish building a secure and connected data infrastructure to help meet the data and reporting needs for both external and internal reporting. As a senior business intelligence engineer you will be working closely with internal GSC teams to fit the various needs that reporting infrastructure will need to support across different verticals of the team to be able to build automated and dynamic reports that will support the global team. You will build and manage GSC’s global reporting infrastructure. As a senior position you will be expected to guide the team in best practices and mentor junior members of the team.
* 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.
* Clearly communicate deep technical topics to customers.
* Work closely with multiple production teams to understand their challenges and provide data/analysis for better decision making.
* Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use.
* Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).
* Manage the local data infra-structure, and develop scalable solutions for data storage.
* Simplify and automate reporting solutions.
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 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s 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. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Qualifications
- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Extended Qualifications
- Experience working directly with business stakeholders to translate between data and business needs- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience building measures and metrics, and developing reporting solutions
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $117,300/year in our lowest geographic market up to $202,800/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.
Check out other jobs at Amazon.