Are you passionate about solving complex data challenges at scale? Do you want to build innovative data solutions that power talent decisions for 1.5+ million Amazonians?

Role Overview:
Join AMX SIERRA's engineering organization, where you'll collaborate with Data Engineers, Software Developers, UX designers, Business Intelligence Engineers, and Data Scientists to build enterprise-scale data products and services that impact Amazon's global workforce.

Key job responsibilities
As a Data Engineer II, you should bring:
• Expert knowledge in data lake fundamentals (storage, compute)
• Deep understanding of data processing stacks (Spark, EMR)
• Mastery of enterprise-level data lake/mesh solutions using AWS stack
• Expertise in designing, creating, and managing large datasets
• Experience with ML feature engineering and AI data pipelines
• Ability to build efficient, flexible, and scalable ETL solutions
• Enthusiasm for learning and implementing new technologies
• Comfort with complex, evolving business contexts

Key Responsibilities:
• Design and implement secure, scalable data platforms
• Architect and maintain end-to-end data infrastructure
• Build and optimize data processing and ML feature pipelines
• Develop and maintain AI knowledge bases
• Drive data strategy and technical roadmap development
• Interface with multiple teams to integrate diverse data sources
• Implement complex ETL pipelines and BI solutions
• Ensure data quality for ML model predictions
• Foster team self-service capabilities and knowledge sharing

A day in the life
On any given day, you might be:
• Designing a new data pipeline to capture employee lifecycle events
• Optimizing performance of our ML feature processing systems
• Collaborating with data scientists to enhance our AI knowledge bases
• Troubleshooting data quality issues affecting business insights
• Participating in design reviews for new data architecture

Beyond the regular pipeline work, you'll have opportunities to:
• Lead technical initiatives to improve our data infrastructure
• Mentor other engineers on data engineering best practices
• Pilot new technologies to solve emerging challenges
• Shape how we approach data quality and governance

You'll interact regularly with:
• Data scientists building prediction models
• Analytics teams using your data pipelines
• Product teams developing AI applications
• Business partners defining requirements

This role combines hands-on technical work with strategic thinking - one day you might be deep in code optimizing a pipeline, the next you could be architecting a new feature repository solution.

About the team
About the Team:

We build data solutions that power Amazon's talent analytics and AI-driven HR tools. Our customers range from HR teams making promotion decisions to AI systems providing employee guidance - all relying on our data infrastructure to make informed decisions.

What we do:
• Power analytics that influence workforce decisions
• Build data foundations for AI-powered HR applications
• Drive data quality and governance standards

Your impact:
You'll work directly with:
• Data scientists building next-gen talent prediction models
• Analytics teams needing reliable, high-quality data
• Product teams developing AI-powered HR solutions
• Business partners defining critical metrics

Our culture emphasizes:
• Collaborative problem-solving
• Innovation with practical implementation
• Knowledge sharing and mentorship
• Data-driven decision making

We're looking for someone who shares our passion for solving complex data challenges while maintaining high standards for reliability and quality.