Senior Data Engineer JWO Tech
Senior Data Engineer JWO Tech
Posted on :
08-04-2025
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1 Vacancy
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Job Description
As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage daytoday operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons realworld experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are nobrainers to buy and easy to use.
The AWS Just Walk Out Tech organization is seeking a talented Data Engineer to join our team. In this role you will play a critical part in designing building and maintaining scalable data pipelines and architectures that power the Analytics our innovative checkoutfree shopping experience. You will work with both internal data and external Retailerfacing reports ensuring the efficient and reliable flow of data across various systems.
Key job responsibilities
Design develop and maintain highperformance faulttolerant data pipelines that process and transform large volumes of structured and unstructured data from multiple sources.
Implement automated data ingestion transformation and loading processes using industrystandard tools and technologies.
Ensure data quality integrity and consistency across the entire data lifecycle.
Collaborate with fellow Data Engineers crossfunctional stakeholders including Researchers Customer Success Managers Software & ML Engineers Product Managers and Technical Program Managers to define and implement robust data architectures that support Just Walk Outs business requirements.
Lead the evolution of our data platform develop and implement data governance policies standards and best practices to ensure data security privacy and compliance.
Design and maintain efficient data models for analytical and operational purposes considering scalability performance and data integration requirements.
Implement robust monitoring and alerting systems to ensure the health and performance of data pipelines and infrastructure.
Identify and resolve datarelated issues bottlenecks and inefficiencies continuously optimizing data processes and systems.
Provide technical guidance and mentorship to junior engineers fostering knowledge sharing and continuous learning.
Document data architectures pipelines and processes to ensure maintainability and knowledge transfer.
A day in the life
You will tackle challenging novel situations every day and given the size of this initiative youll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that havent been solved at scale before.
About the team
The Just Walk Out team at Amazon is dedicated to revolutionizing the retail experience through latest technology that enables checkoutfree shopping. Our mission is to provide customers with a seamless convenient and hasslefree shopping experience by leveraging advanced computer vision sensor fusion and machine learning algorithms. We foster a culture of innovation collaboration and customer obsession where talented individuals from diverse backgrounds come together to tackle complex challenges. With a startup mindset and an entrepreneurial spirit we embrace risktaking experimentation and continuous learning. Our team values open communication knowledge sharing and a supportive environment that encourages personal and professional growth. We strive to push the boundaries of whats possible constantly seeking new ways to delight our customers and shape the future of retail.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Why 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.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and 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.
5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience mentoring team members on best practices
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
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 AWS Just Walk Out Tech organization is seeking a talented Data Engineer to join our team. In this role you will play a critical part in designing building and maintaining scalable data pipelines and architectures that power the Analytics our innovative checkoutfree shopping experience. You will work with both internal data and external Retailerfacing reports ensuring the efficient and reliable flow of data across various systems.
Key job responsibilities
Design develop and maintain highperformance faulttolerant data pipelines that process and transform large volumes of structured and unstructured data from multiple sources.
Implement automated data ingestion transformation and loading processes using industrystandard tools and technologies.
Ensure data quality integrity and consistency across the entire data lifecycle.
Collaborate with fellow Data Engineers crossfunctional stakeholders including Researchers Customer Success Managers Software & ML Engineers Product Managers and Technical Program Managers to define and implement robust data architectures that support Just Walk Outs business requirements.
Lead the evolution of our data platform develop and implement data governance policies standards and best practices to ensure data security privacy and compliance.
Design and maintain efficient data models for analytical and operational purposes considering scalability performance and data integration requirements.
Implement robust monitoring and alerting systems to ensure the health and performance of data pipelines and infrastructure.
Identify and resolve datarelated issues bottlenecks and inefficiencies continuously optimizing data processes and systems.
Provide technical guidance and mentorship to junior engineers fostering knowledge sharing and continuous learning.
Document data architectures pipelines and processes to ensure maintainability and knowledge transfer.
A day in the life
You will tackle challenging novel situations every day and given the size of this initiative youll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that havent been solved at scale before.
About the team
The Just Walk Out team at Amazon is dedicated to revolutionizing the retail experience through latest technology that enables checkoutfree shopping. Our mission is to provide customers with a seamless convenient and hasslefree shopping experience by leveraging advanced computer vision sensor fusion and machine learning algorithms. We foster a culture of innovation collaboration and customer obsession where talented individuals from diverse backgrounds come together to tackle complex challenges. With a startup mindset and an entrepreneurial spirit we embrace risktaking experimentation and continuous learning. Our team values open communication knowledge sharing and a supportive environment that encourages personal and professional growth. We strive to push the boundaries of whats possible constantly seeking new ways to delight our customers and shape the future of retail.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Why 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.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and 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.
5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience mentoring team members on best practices
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
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.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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