Amazon Data Engineer II Amazon Shipping 

United States, Washington, Bellevue 

293777297

As an experienced Data Engineer, you will own expanding and building a new cutting edge data architecture which will fuel the exponentially growing Amazon Shipping business world wide. You will identify gaps in the current architecture, and data and help bridge them. You will also help improve the overall data quality in the organization by identifying improvement opportunities in existing data alarming capabilities and anomaly tracking processes in the org. Additionally, you will collaborate with stakeholders and cross-functional teams to understand data needs and ensure effective use of tools and insights. You will also be responsible for mentoring other L4 DEs in the org.Key job responsibilities
Modern Data Architecture: Design and evolve cloud-native data platforms, including SWA’s Data Lakehouse architecture, integrating Redshift, Lake Formation, and Glue to enable both batch and near real-time analytics.Smart Data Integration: Build resilient, scalable pipelines that unify fragmented data sources into governed, domain-aligned datasets. Implement data contracts, observability, and schema evolution to ensure trust and reusability.Automated DataOps: Drive automation across the data lifecycle—pipelines, quality checks, lineage tracking, and anomaly detection—using tools like AWS CDK, Airflow, Deequ, and Quicksight APIs.Mentorship & Uplift: Uplevel the org by coaching BIEs, DEs, and PMs on scalable data design, performance tuning, and solutioning. Foster a culture of experimentation, ownership, and continuous learning.

- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.