Data Engineer II, TSI Science
Data Engineer II, TSI Science
Posted on :
25-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
25-05-2025
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
Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc.) and internal Amazon tools.
Develop new data models and end to data pipelines.
Collaborate with Senior Data Engineers BI Analysts and Software Development Engineers on data delivery best practices.
Contribute to infrastructure planning and operational excellence continued improvements.
Participate in design reviews and lead reviews for mid scale solutions.
About the team
Here at Selling Partner Services we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups reaching 10000 employees in chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our DEI Ambassador Program. 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.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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 $118900/year in our lowest geographic market up to $205600/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
Develop data products infrastructure and data pipelines leveraging AWS services (such as Redshift Kinesis EMR Lambda etc.) and internal Amazon tools.
Develop new data models and end to data pipelines.
Collaborate with Senior Data Engineers BI Analysts and Software Development Engineers on data delivery best practices.
Contribute to infrastructure planning and operational excellence continued improvements.
Participate in design reviews and lead reviews for mid scale solutions.
About the team
Here at Selling Partner Services we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups reaching 10000 employees in chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our DEI Ambassador Program. 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.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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 $118900/year in our lowest geographic market up to $205600/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.
Employment Type
Full-Time
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