Data Engineer II, OpsTech Team, OTS Anchor Team

Join Ops Tech to build strategic data infrastructure powering Amazon’s global operations technology ecosystem. Ops Tech provides critical technology and data capabilities that support Amazon’s customer commitment worldwide. You will work at the intersection of large scale data processing and real world operational impact, creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, Amazon Campus, and other operational environments.

As a Data Engineer, you will build and evolve scalable data platforms that power analytics, machine learning, and AI driven experiences across Amazon’s global fulfillment and maintenance networks. You will design high performance data pipelines, create trusted data products, and work with Solution Architects, Data Engineers, Applied Scientists, and Business Intelligence Engineers to turn complex operational data into intelligence that can be used by both people and AI systems.

You will help shape modern data engineering practices across Ops Tech, including automated data quality, observability, lineage, data contracts, orchestration, and intelligent pipeline operations. Your work will provide the trusted data foundation behind AI agents, machine learning systems, operational analytics, and automated decision making at global scale.

This is a high impact individual contributor role with significant opportunity to expand your technical scope and influence how Ops Tech builds the next generation of data and AI capabilities.

• Build scalable data pipelines and platforms that transform complex operational data into trusted, AI ready data products.
• Power AI agents, machine learning systems, and intelligent automation with reliable data, context, and semantic layers.
• Develop batch and streaming architectures that deliver timely operational signals for analytics, detection, diagnosis, and decision making.
• Create reusable datasets and data products that support analytics, experimentation, production models, and operational applications.
• Build feature pipelines, training datasets, and production workflows that connect data engineering with machine learning and AI.
• Improve platform reliability through automated data quality, observability, lineage, testing, and anomaly detection.
• Design semantic models and metrics that give operators, leaders, analysts, and AI systems a consistent understanding of the business.
• Partner with Data Scientists, ML Engineers, Business Intelligence Engineers, Solution Architects, Program Managers, and operations teams to deliver measurable business impact.
• Raise the engineering bar by improving scalability, maintainability, governance, and development standards across Ops Tech.
• Explore emerging data and AI technologies and help shape the next generation of Ops Tech data platforms.

You will work closely with Data Engineers, Data Scientists, ML Engineers, Business Intelligence Engineers, Solution Architects, Program Managers, and operations teams across Ops Tech.

Your day may include designing a new data pipeline, reviewing architecture for an AI powered application, improving the reliability of a critical dataset, or working with partners to understand an operational problem and turn it into a scalable data solution.

You will spend time building and improving data products used by analysts, operators, leaders, machine learning systems, and AI agents. You may investigate data quality issues, optimize large scale processing workflows, improve observability, or develop new semantic models that make complex operational data easier to understand and use.

You will also participate in design reviews, code reviews, technical…