Data Engineer, Amazon Music DISCO
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Job Location:
Sunnyvale, CA - USA
Yearly Salary:
$ 118900 - 205600
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Amazon Music is an immersive audio entertainment service that deepens connections between fans artists and creators. From personalized music playlists to exclusive podcasts concert livestreams to artist merch Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode and top ad-free podcasts included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD Ultra HD and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans artists and creators on a global scale. Learn more at on an exhilarating journey with the DISCO team at Amazon Music!
The Data Insights Science and Optimization Music Product and Tech (DISCO MPT) team is looking for a Data Engineer to join a team of engineers and scientists who analyze big data provide analytics and insights and build models and algorithms to power Music product this role you will set the engineering vision and direction for the team and collaborate with internal stakeholders across product science and finance to scale and advance our data engineering offerings. You will lead large scale engineering solutions prioritize across multiple stakeholders and projects and be part of a fast-paced dynamic and fun environment.
Key job responsibilities
As a Data Engineer you will develop new data models using engineering patterns that leverage new cloud architectures genAI and will extend or migrate existing data pipelines to the architectures as needed. This role will also enable the team to build genAI based applications that will improve the efficiency of our BI teams and Product Managers. Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization statistical analysis prediction clustering and machine learning. Help continually improve ongoing reporting and analysis processes automating or simplifying self-service modeling and production support for customers. You will also be responsible to make sure our data store is secure and compliant and will work with Privacy and compliance teams.
About the team
The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound customer-centric decisions through data and insights. We build data pipelines self-service analytics insights and predictive models enabling acquisition engagement and retention at scale with personalized customer touchpoints.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
The Data Insights Science and Optimization Music Product and Tech (DISCO MPT) team is looking for a Data Engineer to join a team of engineers and scientists who analyze big data provide analytics and insights and build models and algorithms to power Music product this role you will set the engineering vision and direction for the team and collaborate with internal stakeholders across product science and finance to scale and advance our data engineering offerings. You will lead large scale engineering solutions prioritize across multiple stakeholders and projects and be part of a fast-paced dynamic and fun environment.
Key job responsibilities
As a Data Engineer you will develop new data models using engineering patterns that leverage new cloud architectures genAI and will extend or migrate existing data pipelines to the architectures as needed. This role will also enable the team to build genAI based applications that will improve the efficiency of our BI teams and Product Managers. Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization statistical analysis prediction clustering and machine learning. Help continually improve ongoing reporting and analysis processes automating or simplifying self-service modeling and production support for customers. You will also be responsible to make sure our data store is secure and compliant and will work with Privacy and compliance teams.
About the team
The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound customer-centric decisions through data and insights. We build data pipelines self-service analytics insights and predictive models enabling acquisition engagement and retention at scale with personalized customer touchpoints.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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