Data Engineer, Prime Video Global App Experience
Data Engineer, Prime Video Global App Experience
Posted on :
20-06-2025
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1 Vacancy
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Job Description
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.
As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Key job responsibilities
As a Data Engineer II you will develop new data engineering patterns that leverage new cloud architectures and will extend or migrate existing data pipelines to the architectures as needed. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Prime Video
A day in the life
We are looking for a talented Data Engineer II to help build/enhance the global data platform that enhances the App experience to ease discovery our content for our world audience (200 countries.) In this role you will own many large datasets implementing new data pipelines that feed into or from critical data systems at Amazon. You will design implement and support new systems that ensure the quality of the data sets and work with our data scientists to make the data available for metrics visualization ad-hoc insights and statistical modeling.
About the team
Prime Videos Global App Experience Product Analytics (GAE-PA) team leads engagement analytics for all Prime Video app experiences across mobile living room web automotive and VR platforms. We own 70 core metrics used by 300 PMs to drive key decisions and support multiple strategic company goals. As the dedicated analytics partner for the GAE product org we focus on scalable data foundations causal attribution and GenAI-powered insights to accelerate decision-making and customer impact.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- 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.
As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Key job responsibilities
As a Data Engineer II you will develop new data engineering patterns that leverage new cloud architectures and will extend or migrate existing data pipelines to the architectures as needed. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Prime Video
A day in the life
We are looking for a talented Data Engineer II to help build/enhance the global data platform that enhances the App experience to ease discovery our content for our world audience (200 countries.) In this role you will own many large datasets implementing new data pipelines that feed into or from critical data systems at Amazon. You will design implement and support new systems that ensure the quality of the data sets and work with our data scientists to make the data available for metrics visualization ad-hoc insights and statistical modeling.
About the team
Prime Videos Global App Experience Product Analytics (GAE-PA) team leads engagement analytics for all Prime Video app experiences across mobile living room web automotive and VR platforms. We own 70 core metrics used by 300 PMs to drive key decisions and support multiple strategic company goals. As the dedicated analytics partner for the GAE product org we focus on scalable data foundations causal attribution and GenAI-powered insights to accelerate decision-making and customer impact.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- 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.
Required Experience:
Exec
Employment Type
Full-Time
Department / Functional Area
Key Skills
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