Data Engineer II
Analytics
AWS
Big Data
Business Analytics
Business Intelligence
Cloud
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Engineer
ETL
Integration
Reporting and Analytics
SQL
Job Description
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
Similar Jobs
