Data Engineer, Alexa Enterprise Data
Data Engineer, Alexa Enterprise Data
Posted on :
05-05-2025
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1 Vacancy
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Job Description
Amazon is a place where data drives most of our decisionmaking. Alexa Enterprise team is looking for a dynamic data engineer who can be innovative a strong problem solver and can lead the implementation of the analytical data infrastructure that will guide decision making. As a Data Engineer you think like an entrepreneur constantly innovating and driving positive change but more importantly you consistently deliver mindboggling results. Youre a leader who uses both quantitative and qualitative methods to get things done. And on top of it all youre someone who wonders What if and then seeks out the solution. This position offers exceptional opportunities to grow your technical and nontechnical skills. You have the opportunity to really make a difference to our business by inventing enhancing and building world class systems delivering results working on exciting and challenging projects.
As a Data Engineer you are responsible for analyzing large amounts of business data solving real world problems and developing metrics and business cases that will enable us to continually delight our customers worldwide. This is done by leveraging data from various platforms such as Jira Portal Salesforce. You will work with a team of Product Managers Software Engineers and Business Intelligence Engineers to automate and scale the analysis and to make the data more actionable to manage business at scale. You will own many large datasets implement new data pipelines that feed into or from critical data systems at Amazon.
You must be able to prioritize and work well in an environment with competing demands. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage largescale data modeling projects identify requirements and tools build data warehousing solutions that are explainable and scalable. In addition to the technical skills a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.
Key job responsibilities
Design implement and support an analytical data infrastructure
Manage AWS resources including EC2 EMR S3 Glue Redshift etc.
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing reporting and analytics platforms.
Contribute to the development of the BI tools skills culture and impact.
Write advanced SQL queries and Python code to develop solutions
A day in the life
This role requires you to live at the intersection of data software and analytics. We leverage a comprehensive suite of AWS technologies with key tools including S3 Redshift DynamoDB Lambda APIs Glue. You will drive the development process from design to release.
Managing data ingestion from heterogeneous data sources with automated data quality checks.
Creating scalable data models for effective data processing storage retrieval and archiving.
Using scripting for automation and tool development which is scalable reusable and maintainable.
Providing infrastructure for self serve analytics and science use cases.
Using industry best practices in building CI/CD pipelines
About the team
The Alexa Enterprise (AE) mission is to extend Alexas capabilities and services to partners accelerating Alexas vision of creating the smartest most capable and trusted AI personal assistant. We help our partners create value and deliver a business we love. Our business mission is focused towards the following areas:
1) Distribute Alexa across 3P endpoints such as smart TVs and speaker profitably drive incremental endpoints and newtoAlexa customer acquisition
2) Bring value to customers in hotels senior living communities and healthcare properties
3) Offer branded conversational AI assistants to partners
4) Ensure product certification quality checks and developer support to partners
We serve worldclass customers across the industry. Our products have been featured in publications such as CNET and Forbes and Amazon has celebrated our progress in its quarterly earnings highlights. Our vision is for Alexa to become an integral part of our enterprise customers driving revenue lowering costs and improving end user satisfaction. Our team values worklife harmony and a diversity of lifestyles and family schedules
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 nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 Data Engineer you are responsible for analyzing large amounts of business data solving real world problems and developing metrics and business cases that will enable us to continually delight our customers worldwide. This is done by leveraging data from various platforms such as Jira Portal Salesforce. You will work with a team of Product Managers Software Engineers and Business Intelligence Engineers to automate and scale the analysis and to make the data more actionable to manage business at scale. You will own many large datasets implement new data pipelines that feed into or from critical data systems at Amazon.
You must be able to prioritize and work well in an environment with competing demands. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage largescale data modeling projects identify requirements and tools build data warehousing solutions that are explainable and scalable. In addition to the technical skills a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.
Key job responsibilities
Design implement and support an analytical data infrastructure
Manage AWS resources including EC2 EMR S3 Glue Redshift etc.
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing reporting and analytics platforms.
Contribute to the development of the BI tools skills culture and impact.
Write advanced SQL queries and Python code to develop solutions
A day in the life
This role requires you to live at the intersection of data software and analytics. We leverage a comprehensive suite of AWS technologies with key tools including S3 Redshift DynamoDB Lambda APIs Glue. You will drive the development process from design to release.
Managing data ingestion from heterogeneous data sources with automated data quality checks.
Creating scalable data models for effective data processing storage retrieval and archiving.
Using scripting for automation and tool development which is scalable reusable and maintainable.
Providing infrastructure for self serve analytics and science use cases.
Using industry best practices in building CI/CD pipelines
About the team
The Alexa Enterprise (AE) mission is to extend Alexas capabilities and services to partners accelerating Alexas vision of creating the smartest most capable and trusted AI personal assistant. We help our partners create value and deliver a business we love. Our business mission is focused towards the following areas:
1) Distribute Alexa across 3P endpoints such as smart TVs and speaker profitably drive incremental endpoints and newtoAlexa customer acquisition
2) Bring value to customers in hotels senior living communities and healthcare properties
3) Offer branded conversational AI assistants to partners
4) Ensure product certification quality checks and developer support to partners
We serve worldclass customers across the industry. Our products have been featured in publications such as CNET and Forbes and Amazon has celebrated our progress in its quarterly earnings highlights. Our vision is for Alexa to become an integral part of our enterprise customers driving revenue lowering costs and improving end user satisfaction. Our team values worklife harmony and a diversity of lifestyles and family schedules
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 nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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
Department / Functional Area
Key Skills
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