Sr. Data Engineer, SPTC
Sr. Data Engineer, SPTC
Posted on :
27-08-2025
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1 Vacancy
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Job Description
As we strive to be Earths most customer-centric company Amazon has reinvented how hundreds of millions of people shop online providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers a crucial component of our flywheel
Sellers trust in Amazon is our top priority and in this role you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
The successful candidate will be a self-starter comfortable with ambiguity and be able to create and maintain efficient & automated processes. They know and love working with data engineering tools can model multidimensional datasets and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient flexible extensible and scalable data models ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative and dont quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
Key job responsibilities
In this role you will work on unifying fragmented data pipelines building robust data models and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers product managers and analytics teams to develop data solutions that drive innovation and operational excellence.
The ideal candidate brings deep expertise in big data technologies strong data modeling and problem-solving skills and a track record of delivering scalable maintainable data systems. If youre excited by the challenge of shaping data platforms that support real-world hardware software and operations this is the role for you.
A day in the life
-Architect and implement scalable reliable and secure data pipelines and infrastructure to support analytics reporting and business operations.
-Design and enforce data modeling standards data lineage and governance frameworks that ensure consistency re-usability and quality across systems.
-Lead design and code reviews driving engineering best practices across data development documentation testing and monitoring.
-Build data platforms and frameworks that support both batch and real-time processing enabling flexible efficient analytics at scale.
-Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g. GDPR).
-Evaluate and introduce emerging technologies to improve data platform performance cost efficiency and scalability.
-Collaborate with cross-functional teams to gather data requirements define solution architectures and ensure alignment with business needs.
-Mentor junior engineers and contribute to team hiring and onboarding
- Bachelors degree in Computer Science Engineering or a related technical discipline
- 7 years of relevant work experience in data engineering business intelligence or related field
- Advanced proficiency in SQL ETL management data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Strong critical thinking skills and attention to detail
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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.
Sellers trust in Amazon is our top priority and in this role you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
The successful candidate will be a self-starter comfortable with ambiguity and be able to create and maintain efficient & automated processes. They know and love working with data engineering tools can model multidimensional datasets and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient flexible extensible and scalable data models ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative and dont quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
Key job responsibilities
In this role you will work on unifying fragmented data pipelines building robust data models and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers product managers and analytics teams to develop data solutions that drive innovation and operational excellence.
The ideal candidate brings deep expertise in big data technologies strong data modeling and problem-solving skills and a track record of delivering scalable maintainable data systems. If youre excited by the challenge of shaping data platforms that support real-world hardware software and operations this is the role for you.
A day in the life
-Architect and implement scalable reliable and secure data pipelines and infrastructure to support analytics reporting and business operations.
-Design and enforce data modeling standards data lineage and governance frameworks that ensure consistency re-usability and quality across systems.
-Lead design and code reviews driving engineering best practices across data development documentation testing and monitoring.
-Build data platforms and frameworks that support both batch and real-time processing enabling flexible efficient analytics at scale.
-Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g. GDPR).
-Evaluate and introduce emerging technologies to improve data platform performance cost efficiency and scalability.
-Collaborate with cross-functional teams to gather data requirements define solution architectures and ensure alignment with business needs.
-Mentor junior engineers and contribute to team hiring and onboarding
- Bachelors degree in Computer Science Engineering or a related technical discipline
- 7 years of relevant work experience in data engineering business intelligence or related field
- Advanced proficiency in SQL ETL management data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Strong critical thinking skills and attention to detail
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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