Sr. Data Engineer, Kuiper Global Service Compliance
Sr. Data Engineer, Kuiper Global Service Compliance
Posted on :
05-07-2025
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1 Vacancy
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Job Description
We are seeking an exceptional Data 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 data 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 to report out to regulators world wide. As a data 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 team on a global level.
Youll be working to design and build high-performance solutions that operate at a global scale. Your responsibilities will include working with stakeholders to build systems and pipelines to help support automated and manual reporting that are essential to Kuiper. Youll participate in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance. As a senior level position youll help to support mentorship of best practices and guiding principals as the team continues to grow and build infrastructure.
* Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance. Using AWS big data stack Python Redshift Quicksight Glue/lake formation EMR/Spark/Scala Athena etc.
* Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 Redshift Lambda etc.).
* Build a data dictionary catalog and governance plan and manage and audit all of the registered data via mechanisms.
* Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
* Clearly communicate deep technical topics to customers.
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.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 5 years experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Ideal candidate would have one or more of the following certifications:
- 1. AWS Certified SysOps Administrator Assoc.
- 2. AWS Certified Developer Assoc.
- 3. AWS Certified Solutions Architect Assoc.
- 4. AWS Certified Data Engineer Assoc.
- 5. AWS Certified Machine Learning Engineer Assoc.
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 $139100/year in our lowest geographic market up to $240500/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 data 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 to report out to regulators world wide. As a data 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 team on a global level.
Youll be working to design and build high-performance solutions that operate at a global scale. Your responsibilities will include working with stakeholders to build systems and pipelines to help support automated and manual reporting that are essential to Kuiper. Youll participate in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance. As a senior level position youll help to support mentorship of best practices and guiding principals as the team continues to grow and build infrastructure.
* Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance. Using AWS big data stack Python Redshift Quicksight Glue/lake formation EMR/Spark/Scala Athena etc.
* Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 Redshift Lambda etc.).
* Build a data dictionary catalog and governance plan and manage and audit all of the registered data via mechanisms.
* Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
* Clearly communicate deep technical topics to customers.
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.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 5 years experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Ideal candidate would have one or more of the following certifications:
- 1. AWS Certified SysOps Administrator Assoc.
- 2. AWS Certified Developer Assoc.
- 3. AWS Certified Solutions Architect Assoc.
- 4. AWS Certified Data Engineer Assoc.
- 5. AWS Certified Machine Learning Engineer Assoc.
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 $139100/year in our lowest geographic market up to $240500/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
Department / Functional Area
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