Data Engineer II Data AI Customer Engagement Technology
Data Engineer II Data AI Customer Engagement Technology
Posted on :
30-04-2025
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1 Vacancy
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Job Description
As a Data Engineer on the Data and AI team you will design and implement robust data pipelines and infrastructure that power our organizations datadriven decisions and AI capabilities. This role is critical in developing and maintaining our enterprisescale data processing systems that handle highvolume transactions while ensuring data security privacy compliance and optimal performance.
Youll be part of a dynamic team that designs and implements comprehensive data solutions from realtime processing architectures to secure storage solutions and privacycompliant data access layers. The role involves close collaboration with crossfunctional teams including software development engineers product managers and scientists to create data products that power critical business capabilities. Youll have the opportunity to work with leading technologies in cloud computing big data processing and machine learning infrastructure while contributing to the development of robust data governance frameworks.
If youre passionate about solving complex technical challenges in highscale environments thrive in a collaborative team setting and want to make a lasting impact on our organizations data infrastructure this role offers an exciting opportunity to shape the future of our data and AI capabilities.
Key job responsibilities
Design and implement ETL/ELT frameworks that handle largescale data operations while building reusable components for data ingestion transformation and orchestration while ensuring data quality and reliability.
Establish and maintain robust data governance standards by implementing comprehensive security controls access management frameworks and privacycompliant architectures that safeguard sensitive information.
Drive the implementation of data solutions both realtime and batch optimizing them for both analytical workloads and AI/ML applications.
Lead technical design reviews and provide mentorship on data engineering best practices identifying opportunities for architectural improvements and guiding the implementation of enhanced solutions.
Build data quality frameworks with robust monitoring systems and validation processes to ensure data accuracy and reliability throughout the data lifecycle.
Drive continuous improvement initiatives by evaluating and implementing new technologies and methodologies that enhance data infrastructure capabilities and operational efficiency.
A day in the life
The day often begins with a team standup to align priorities followed by a review of data pipeline monitoring alarms to address any processing issues and ensure data quality standards are maintained across systems. Throughout the day youll find yourself immersed in various technical tasks including developing and optimizing ETL/ELT processes implementing data governance controls and reviewing code for data processing systems. Youll work closely with software engineers scientists and product managers participating in technical design discussions and sharing your expertise in data architecture and engineering best practices. Your responsibilities extend to communicating with nontechnical stakeholders explaining datarelated projects and their business impact.
Youll also mentor junior engineers and contribute to maintaining comprehensive technical documentation. Youll troubleshoot issues that arise in the data infrastructure optimize the performance of data pipelines and ensure data security and compliance with relevant regulations. Staying updated on the latest data engineering technologies and best practices is crucial as youll be expected to incorporate new learnings into your work. By the end of a typical day youll have advanced key data infrastructure initiatives solved complex technical challenges and improved the reliability efficiency and security of data systems. Whether its implementing new data governance controls optimizing data processing workflows or enhancing data platforms to support new AI models your work directly impacts the organizations ability to leverage data for critical business decisions and AI capabilities.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the endtoend process of defining building implementing and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI) Machine Learning (ML) Ontology and Natural Language Processing (NLP) to customer and associate experiences.
3 years of data engineering experience
Bachelors degree in Computer Science Engineering or a related technical discipline
Experience with AWS data services (Redshift S3 Glue EMR Kinesis Lambda RDS) and understanding of IAM security frameworks
Proficiency in designing and implementing logical data models that drive physical designs
Handson experience working with large language models including understanding of data infrastructure requirements for AI model training
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.
Youll be part of a dynamic team that designs and implements comprehensive data solutions from realtime processing architectures to secure storage solutions and privacycompliant data access layers. The role involves close collaboration with crossfunctional teams including software development engineers product managers and scientists to create data products that power critical business capabilities. Youll have the opportunity to work with leading technologies in cloud computing big data processing and machine learning infrastructure while contributing to the development of robust data governance frameworks.
If youre passionate about solving complex technical challenges in highscale environments thrive in a collaborative team setting and want to make a lasting impact on our organizations data infrastructure this role offers an exciting opportunity to shape the future of our data and AI capabilities.
Key job responsibilities
Design and implement ETL/ELT frameworks that handle largescale data operations while building reusable components for data ingestion transformation and orchestration while ensuring data quality and reliability.
Establish and maintain robust data governance standards by implementing comprehensive security controls access management frameworks and privacycompliant architectures that safeguard sensitive information.
Drive the implementation of data solutions both realtime and batch optimizing them for both analytical workloads and AI/ML applications.
Lead technical design reviews and provide mentorship on data engineering best practices identifying opportunities for architectural improvements and guiding the implementation of enhanced solutions.
Build data quality frameworks with robust monitoring systems and validation processes to ensure data accuracy and reliability throughout the data lifecycle.
Drive continuous improvement initiatives by evaluating and implementing new technologies and methodologies that enhance data infrastructure capabilities and operational efficiency.
A day in the life
The day often begins with a team standup to align priorities followed by a review of data pipeline monitoring alarms to address any processing issues and ensure data quality standards are maintained across systems. Throughout the day youll find yourself immersed in various technical tasks including developing and optimizing ETL/ELT processes implementing data governance controls and reviewing code for data processing systems. Youll work closely with software engineers scientists and product managers participating in technical design discussions and sharing your expertise in data architecture and engineering best practices. Your responsibilities extend to communicating with nontechnical stakeholders explaining datarelated projects and their business impact.
Youll also mentor junior engineers and contribute to maintaining comprehensive technical documentation. Youll troubleshoot issues that arise in the data infrastructure optimize the performance of data pipelines and ensure data security and compliance with relevant regulations. Staying updated on the latest data engineering technologies and best practices is crucial as youll be expected to incorporate new learnings into your work. By the end of a typical day youll have advanced key data infrastructure initiatives solved complex technical challenges and improved the reliability efficiency and security of data systems. Whether its implementing new data governance controls optimizing data processing workflows or enhancing data platforms to support new AI models your work directly impacts the organizations ability to leverage data for critical business decisions and AI capabilities.
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the endtoend process of defining building implementing and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI) Machine Learning (ML) Ontology and Natural Language Processing (NLP) to customer and associate experiences.
3 years of data engineering experience
Bachelors degree in Computer Science Engineering or a related technical discipline
Experience with AWS data services (Redshift S3 Glue EMR Kinesis Lambda RDS) and understanding of IAM security frameworks
Proficiency in designing and implementing logical data models that drive physical designs
Handson experience working with large language models including understanding of data infrastructure requirements for AI model training
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
Department / Functional Area
Key Skills
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