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
ETL
Integration
Reporting and Analytics
SQL
Job Description
Join Amazon’s OTS Data ANCHOR team as a Data Engineer II and help sculpt the data foundation for AI-driven operational insights across Amazon’s global fulfillment and maintenance networks. Based onsite in Austin, TX, this influential individual contributor role focuses on delivering scalable ETL and ELT pipelines, alongside AI-ready data infrastructure that powers automated reporting, diagnostics, and analytics at scale. The position carries a salary range of USD 132,100 to 178,800 per year.
Responsibilities
- Design, build, and maintain production-grade ETL/ELT pipelines and large-scale data infrastructure that support OTS operational intelligence.
- 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.
- Assist in implementing GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
- Create and sustain 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 align work with OTS business goals.
- Adhere to and help evolve 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, data warehousing, and building ETL pipelines.
- Proven ability to deliver 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
- 401(k) Plan
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 using systems like Kafka, Kinesis, Flink, Storm, or Beam.
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