Data Engineer II

Join a global data-focused team in Austin, working onsite on scalable ETL/ELT pipelines and AI-ready data infrastructure that drive automated reporting, diagnostics, and analytics for Amazon’s fulfillment and maintenance networks. This Data Engineer II role offers a competitive yearly salary range of USD 132,100 to 178,800, a comprehensive benefits package, and the opportunity to contribute to data products that inform operations across the world.

Benefits

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

Responsibilities

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

Requirements

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

Technologies

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

Preferred Qualifications

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