Data Engineer II

The Data Engineer II role is based onsite in Austin, Texas, within Amazon.com Services LLC. It focuses on designing scalable ETL/ELT pipelines and AI-ready data infrastructure to power AI-driven operational insights across Amazon's global fulfillment and maintenance networks. This individual contributor position emphasizes delivering robust data products and practices that enable automated reporting, diagnostics, and analytics across worldwide operations. Compensation ranges from USD 132,100 to 178,800 per year.

Responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines and scalable data infrastructure supporting OTS operational intelligence.
• Create feature engineering workflows and ML-ready data pipelines to support data science experimentation and production model serving.
• Contribute to data governance and quality standards across analytical and ML data products.
• Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
• Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
• Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
• Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

• 3+ years of data engineering experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience working on and delivering end-to-end projects independently

Technologies

• SQL
• C++
• C#
• Java
• Python
• Golang
• PowerShell
• Ruby
• Kafka
• Kinesis
• Flink
• Storm
• Beam

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Preferred Qualifications

• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam