Data Engineer AWS Data Platform - Managed Data
Data Engineer AWS Data Platform - Managed Data
Posted on :
19-04-2025
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1 Vacancy
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Job Description
Do you enjoy problemsolving and using data to analyze information on a grand scale Are you passionate about manipulating data to tackle complex internal and external customer problems and improve business results Do you want to be a part of a fastpaced environment and contribute to one of the most visited sites on the Internet
At Amazon we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the worlds most beloved brands customer obsession is part of our company DNA. Data engineers use technology to solve complex problems and get to see the impact of their work firsthand.
The challenges data engineers solve for at Amazon are big and impact millions of customers sellers and products around the world. Our path is not always simple so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon someone who is excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years.
Come chart your own path at Amazon.
Note: By applying to this position your application will be considered for all locations we hire for in the United States including but not limited to: Seattle/Bellevue WA; Nashville TN; Austin TX; Greater Bay Area CA; DC Metro Area; Denver CO; Detroit MI; Greater Boston Area MA; Greater Denver Area CO; Greater Los Angeles Area CA; Greater New York Area; Irvine CA; Madison WI; Minneapolis MN; Phoenix AZ; Portland OR; San Diego CA.
As a data engineer you will/may:
Design implement and automate deployment of our distributed system for collecting and processing log events from multiple sources
Design data schema and operate internal data warehouses and SQL/NoSQL database systems
Own the design development and maintenance of ongoing metrics reports analyses and dashboards to drive key business decisions
Monitor and troubleshoot operational or data issues in the data pipelines
Drive architectural plans and implementation for future data storage reporting and analytic solutions
Work collaboratively with business analysts data scientists and other internal partners to identify opportunities/problems
Provide assistance to the team with troubleshooting researching the root cause and thoroughly resolving defects in the event of a problem
About the team
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
At Amazon we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the worlds most beloved brands customer obsession is part of our company DNA. Data engineers use technology to solve complex problems and get to see the impact of their work firsthand.
The challenges data engineers solve for at Amazon are big and impact millions of customers sellers and products around the world. Our path is not always simple so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon someone who is excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years.
Come chart your own path at Amazon.
Note: By applying to this position your application will be considered for all locations we hire for in the United States including but not limited to: Seattle/Bellevue WA; Nashville TN; Austin TX; Greater Bay Area CA; DC Metro Area; Denver CO; Detroit MI; Greater Boston Area MA; Greater Denver Area CO; Greater Los Angeles Area CA; Greater New York Area; Irvine CA; Madison WI; Minneapolis MN; Phoenix AZ; Portland OR; San Diego CA.
As a data engineer you will/may:
Design implement and automate deployment of our distributed system for collecting and processing log events from multiple sources
Design data schema and operate internal data warehouses and SQL/NoSQL database systems
Own the design development and maintenance of ongoing metrics reports analyses and dashboards to drive key business decisions
Monitor and troubleshoot operational or data issues in the data pipelines
Drive architectural plans and implementation for future data storage reporting and analytic solutions
Work collaboratively with business analysts data scientists and other internal partners to identify opportunities/problems
Provide assistance to the team with troubleshooting researching the root cause and thoroughly resolving defects in the event of a problem
About the team
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Employment Type
Full-Time
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