Amazon Data Engineer II, Just Walk Out (JWO Tech) – AWS Applied AI Solutions

Description

As part of the AWS Applied AI Solutions team, our vision is to leverage Amazon’s experience and expertise to build business applications that help millions of companies worldwide manage their day-to-day operations. Our goal is to accelerate customers’ businesses through intuitive and differentiated technology solutions that solve their long-term business challenges.

We combine Amazon’s curiosity and real-world experience to create turnkey solutions—where customers prefer to “buy” rather than “build.” In short, we become their trusted partner, providing them with simple, powerful, and easy-to-use tools.

The AWS Just Walk Out Tech (JWO Tech) organization is looking for a talented Data Engineer to join the team and design, build, and maintain scalable data pipelines and architectures that power analytics for checkout-free shopping experiences.

In this role, you will work on both internal data and external retailer-facing reports, ensuring that data flows efficiently and reliably between every system.

Key Job Responsibilities

• Design, develop, and maintain high-performance and fault-tolerant data pipelines that process and transform structured and unstructured data from multiple sources.
• Implement automated data ingestion, transformation, and loading processes using modern tools and technologies.
• Ensure data quality, integrity, and consistency across the complete data lifecycle.
• Collaborate with cross-functional teams—such as Data Engineers, Researchers, Customer Success Managers, Software and ML Engineers, Product Managers, and Technical Program Managers—to design robust data architectures that meet JWO’s business requirements.
• Evolve the data platform, defining governance policies and best practices to maintain data security, privacy, and compliance.
• Design and maintain efficient data models for analytical and operational use—keeping scalability and performance in mind.
• Implement monitoring and alerting systems to ensure data pipelines and infrastructure remain healthy and reliable.
• Identify and continuously optimize data-related issues and inefficiencies.
• Mentor junior engineers, providing technical guidance and promoting a knowledge-sharing culture.
• Maintain detailed documentation so that data architectures and pipelines can be easily maintained and transferred.

About the Team

The Just Walk Out team is redefining the Amazon retail experience through advanced technology that provides customers with a seamless, checkout-free shopping experience.

Our mission is to offer a hassle-free and convenient shopping journey by leveraging computer vision, sensor fusion, and machine learning algorithms.

The team culture emphasizes innovation, collaboration, and customer obsession. Talented individuals from all backgrounds come together to solve complex challenges with a start-up mindset. We embrace experimentation and continuous learning, with open communication and mutual support being core values.

Simply put—we are shaping the future of retail.

Diverse Experiences

Amazon values diverse experiences of all kinds. Even if you do not match every qualification listed, we encourage you to apply. Whether you are just starting your career or have followed a non-traditional path, your experience is unique and appreciated at Amazon.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and trusted cloud platform. We pioneered cloud computing and continue to innovate—earning the trust of startups and global enterprises alike.

Work/Life Balance

At AWS, we value work-life harmony. We believe success is meaningful only when personal life is balanced. With flexible work hours and a supportive culture, we ensure you are happy and productive both at work and at home.

Inclusive Team Culture

Learning and curiosity are part of our DNA at AWS. Our employee-led affinity groups promote inclusion, while initiatives such as CORE (Conversations on Race and Ethnicity) and AmazeCon (Diversity) conferences celebrate individuality and foster belonging.

Mentorship and Career Growth

At AWS, we continuously raise our performance bar to remain Earth’s Best Employer. You will find mentorship, continuous learning, and resources to help you advance your career and become a well-rounded professional.

Basic Qualifications

• Minimum 3+ years of Data Engineering experience.
• Experience in data modeling, warehousing, and building ETL pipelines.

Preferred Qualifications

• Experience with AWS tools such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
• Experience working with non-relational databases such as object storage, document stores, key-value stores, graph, and column-family databases.

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Equal Opportunity & Accessibility

Amazon is an inclusive workplace that provides equal opportunities for all employees. If you require accommodations during the hiring or onboarding process due to a disability, please visit:

https://amazon.jobs/content/en/how-we-hire/accommodations

If your region is not listed, please contact your recruiting partner for assistance.