Data Engineering Manager Kuiper Enterprise Technology Kuiper Builder Engagement
Data Engineering Manager Kuiper Enterprise Technology Kuiper Builder Engagement
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 153000 - 264500
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Project Kuiper is an initiative to increase global broadband access through a constellation of more than 3000 satellites in low Earth orbit. Its mission is to bring fast affordable broadband to unserved and underserved communities around the world.
Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. governmentimposed requirements related to the nature of the work and/or where it will be performed.
The Enterprise Technology Team is seeking a Data Engineering Manager with technical breadth to own the design planning delivery and operation of Kuipers Data vending service. We are currently expanding our Data Engineering team and are looking for a proven technology manager with experience in people management robust technical understanding and the drive and vision to take Kuiper Data Engineering to the next level.
The ideal candidate has deep technical skills in Data engineering science insights and optimization; this toolkit allows them to create innovative solutions that meet the needs of Kuipers data producer and consumer communities. Youll do this by implementing sustainable processes and standards; driving optimization opportunities to reduce delivery cycle times and improve quality without impacting service availability. Your Data Engineering domain expertise and knowledge of scaling data services to meet the changing and challenging needs of your customers are essential to making a significant impact in this role.
Key job responsibilities
Lead and mentor a team of data engineers.
Set team goals performance metrics and expectations.
Foster a collaborative and innovative team culture.
Recruit onboard and retain top talent.
Oversee the design and implementation of scalable data pipelines.
Collaborate with crossfunctional teams to understand data needs and design solutions.
Align data solutions with Kuipers architecture goals (cost security scalability).
Manage multiple data engineering projects across Kuiper Org.
Define project timelines milestones and deliverables.
Drive prioritization and tradeoff decisions.
Communicate project progress and risks to leadership.
Provide technical guidance to the team on complex data challenges.
Evaluate new technologies and tools for data infrastructure.
Lead design and code reviews to maintain high quality standards.
Monitor and optimize data infrastructure and pipelines for performance and reliability.
Implement data governance security and privacy best practices.
Establish incident management protocols and ensure effective team response.
Work with business and product teams to understand data needs.
Influence decisionmaking through datadriven insights.
Communicate effectively with senior leadership on strategy progress and challenges.
Monitor and optimize the cost of data infrastructure and services.
Manage budget for tools platforms and services used by the team.
A day in the life
In this role youll interface with crossfunctional teams including operators information security thirdparty vendors and multiple IT infrastructure teams. Youll join a diverse team of systems engineers software developers network engineers and warehouse management systems experts.
Note : This position requires onsite work in Bellevue Redmond and Everett WA. This is not a remote position.
About the team
Kuiper Enterprise Technology provides the internal systems networks devices Enterprise Applications and productivity services that power Project Kuiper. We strive to create an inclusive environment where people dedicated to Kuipers mission can deliver their best.
5 years of data engineering experience
2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
2 years of developing and operating largescale data structures for business intelligence analytics (using ETL/ELT processes) experience
Experience managing a data or BI team
Experience communicating to senior management and customers verbally and in writing
Experience leading and influencing the data or BI strategy of your team or organization
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Strong proficiency in data engineering tools and technologies (e.g. SQL ETL data warehousing distributed systems).
Experience with cloud platforms (e.g. AWS GCP or Azure) for building scalable data solutions.
Solid understanding of data architecture data modeling and designing largescale data pipelines.
Ability to manage and prioritize multiple projects and deliver them on time.
Strong communication skills and the ability to interact with senior leadership and crossfunctional teams.
Experience with AWS Tools and Technologies (Redshift S3 EC2
Proficiency in programming languages such as Python Java or Scala.
Expertise in data governance security and privacy practices.
Familiarity with agile methodologies and using planning tools to keep teams on track.
Proven track record of driving technical strategy and influencing stakeholders across the organization.
Strong problemsolving and analytical skills with a passion for technical innovation.
Experience with data visualization tools (e.g. Tableau Grafana) or business intelligence tools.
Familiarity with automation and DevOps practices in the data engineering space.
Experience with machine learning pipelines and integrating machine learning models into data workflows.
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.
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 $153000/year in our lowest geographic market up to $264500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. governmentimposed requirements related to the nature of the work and/or where it will be performed.
The Enterprise Technology Team is seeking a Data Engineering Manager with technical breadth to own the design planning delivery and operation of Kuipers Data vending service. We are currently expanding our Data Engineering team and are looking for a proven technology manager with experience in people management robust technical understanding and the drive and vision to take Kuiper Data Engineering to the next level.
The ideal candidate has deep technical skills in Data engineering science insights and optimization; this toolkit allows them to create innovative solutions that meet the needs of Kuipers data producer and consumer communities. Youll do this by implementing sustainable processes and standards; driving optimization opportunities to reduce delivery cycle times and improve quality without impacting service availability. Your Data Engineering domain expertise and knowledge of scaling data services to meet the changing and challenging needs of your customers are essential to making a significant impact in this role.
Key job responsibilities
Lead and mentor a team of data engineers.
Set team goals performance metrics and expectations.
Foster a collaborative and innovative team culture.
Recruit onboard and retain top talent.
Oversee the design and implementation of scalable data pipelines.
Collaborate with crossfunctional teams to understand data needs and design solutions.
Align data solutions with Kuipers architecture goals (cost security scalability).
Manage multiple data engineering projects across Kuiper Org.
Define project timelines milestones and deliverables.
Drive prioritization and tradeoff decisions.
Communicate project progress and risks to leadership.
Provide technical guidance to the team on complex data challenges.
Evaluate new technologies and tools for data infrastructure.
Lead design and code reviews to maintain high quality standards.
Monitor and optimize data infrastructure and pipelines for performance and reliability.
Implement data governance security and privacy best practices.
Establish incident management protocols and ensure effective team response.
Work with business and product teams to understand data needs.
Influence decisionmaking through datadriven insights.
Communicate effectively with senior leadership on strategy progress and challenges.
Monitor and optimize the cost of data infrastructure and services.
Manage budget for tools platforms and services used by the team.
A day in the life
In this role youll interface with crossfunctional teams including operators information security thirdparty vendors and multiple IT infrastructure teams. Youll join a diverse team of systems engineers software developers network engineers and warehouse management systems experts.
Note : This position requires onsite work in Bellevue Redmond and Everett WA. This is not a remote position.
About the team
Kuiper Enterprise Technology provides the internal systems networks devices Enterprise Applications and productivity services that power Project Kuiper. We strive to create an inclusive environment where people dedicated to Kuipers mission can deliver their best.
5 years of data engineering experience
2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
2 years of developing and operating largescale data structures for business intelligence analytics (using ETL/ELT processes) experience
Experience managing a data or BI team
Experience communicating to senior management and customers verbally and in writing
Experience leading and influencing the data or BI strategy of your team or organization
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Strong proficiency in data engineering tools and technologies (e.g. SQL ETL data warehousing distributed systems).
Experience with cloud platforms (e.g. AWS GCP or Azure) for building scalable data solutions.
Solid understanding of data architecture data modeling and designing largescale data pipelines.
Ability to manage and prioritize multiple projects and deliver them on time.
Strong communication skills and the ability to interact with senior leadership and crossfunctional teams.
Experience with AWS Tools and Technologies (Redshift S3 EC2
Proficiency in programming languages such as Python Java or Scala.
Expertise in data governance security and privacy practices.
Familiarity with agile methodologies and using planning tools to keep teams on track.
Proven track record of driving technical strategy and influencing stakeholders across the organization.
Strong problemsolving and analytical skills with a passion for technical innovation.
Experience with data visualization tools (e.g. Tableau Grafana) or business intelligence tools.
Familiarity with automation and DevOps practices in the data engineering space.
Experience with machine learning pipelines and integrating machine learning models into data workflows.
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.
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 $153000/year in our lowest geographic market up to $264500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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