Data Engineer, Alexa Audio
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Job Summary
Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication Join our Alexa Audio Data and Insights team as a Data Engineer and lead futuristic big data initiatives that will shape the next generation of intelligent conversational this role youll work at the intersection of disruptive AI technologies and real-world impact making a difference for millions of customers. Youll collaborate with a team of passionate professionals who are as excited about innovation as you are and together youll push the boundaries of whats possible with Alexa.
As a Data Engineer youll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies. Youll work closely with cross-functional teams including product management design engineering Business Intelligence and data science. Youll also lead the integration of these advanced AI systems into Alexa Audios core capabilities ensuring a seamless and intuitive user experience.
Key job responsibilities
- Work closely with data scientists BI and engineers to create robust data architectures and pipelines
- Develop and manage scalable data pipelines to extract transform and load data from various sources
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
- Automate data processing and reporting workflows to improve efficiency and data integrity
- Implement data quality checks and monitor processes to maintain high data accuracy
- Simplify and enhance the accessibility clarity and usability of large and complex datasets through the development of data cubes and data sharing solutions
- Develop and manage scalable automated and fault-tolerant data solutions using technologies such as Spark EMR Python Redshift Glue and S3
About the team
AUDI consists of Business Intelligence Engineers (BIEs) Data Engineers (DEs) Data Scientists (DSs) and DS/BI Mangers who bring with deep experience in both business analytics and data science. We cover the data needs of Music Radio Podcast Books Audio News and Ambient Sounds.
AUDI supports analytical best practices across the Audio org as we drive a metric-first mindset measure the right success metrics and support the launch of Remarkable Alexa and Banyan. We strive to extract and store accurate data to deliver actionable insights inform business investment decisions support growth of customer base and drive the success of Banyan experience. Our data products and analytical programs accelerates efforts in delivering premium and delightful experiences for Audio customers.
- 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.
The base salary for this position ranges from $103300/year up to $172600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
As a Data Engineer youll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies. Youll work closely with cross-functional teams including product management design engineering Business Intelligence and data science. Youll also lead the integration of these advanced AI systems into Alexa Audios core capabilities ensuring a seamless and intuitive user experience.
Key job responsibilities
- Work closely with data scientists BI and engineers to create robust data architectures and pipelines
- Develop and manage scalable data pipelines to extract transform and load data from various sources
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
- Automate data processing and reporting workflows to improve efficiency and data integrity
- Implement data quality checks and monitor processes to maintain high data accuracy
- Simplify and enhance the accessibility clarity and usability of large and complex datasets through the development of data cubes and data sharing solutions
- Develop and manage scalable automated and fault-tolerant data solutions using technologies such as Spark EMR Python Redshift Glue and S3
About the team
AUDI consists of Business Intelligence Engineers (BIEs) Data Engineers (DEs) Data Scientists (DSs) and DS/BI Mangers who bring with deep experience in both business analytics and data science. We cover the data needs of Music Radio Podcast Books Audio News and Ambient Sounds.
AUDI supports analytical best practices across the Audio org as we drive a metric-first mindset measure the right success metrics and support the launch of Remarkable Alexa and Banyan. We strive to extract and store accurate data to deliver actionable insights inform business investment decisions support growth of customer base and drive the success of Banyan experience. Our data products and analytical programs accelerates efforts in delivering premium and delightful experiences for Audio customers.
- 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.
The base salary for this position ranges from $103300/year up to $172600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Required Experience:
IC
Key Skills
- Computer Science
- E & I
- Debugging
- C/C++
- Objective C
- Swift
- OS Kernels
- Signal Processing
- Matlab
- Unreal Engine
- Middleware
- IOS
About Company
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