As a Data Engineer II on the Intelligence & Industrialization (I&I) team, you'll own the design and delivery of scalable data solutions that power Amazon's global transportation procurement and international customs operations. Your pipelines will process terabytes of logistics data daily, enabling teams to optimize billions in supply chain spend and accelerate cross-border delivery-directly fueling Amazon's flywheel of lower costs, lower prices, and better customer experience.
You'll work with AWS technologies to architect end-to-end ETL solutions, build robust data warehousing infrastructure, and deliver automated, self-service analytics capabilities. You'll collaborate with Business Intelligence Engineers, Data Scientists, and Software Engineers while maintaining full ownership of your technical domain. This is a high-impact role where you'll see the results of your engineering in real-time operational decisions that shape how Amazon moves products around the globe
Key job responsibilities
- Design, build, and own scalable data infrastructure on AWS (Redshift, S3, Glue, EMR) that delivers reliable access to large-scale transportation and customs datasets for cross-functional stakeholders
- Architect and implement end-to-end ETL pipelines that ingest, transform, and load data from diverse sources, ensuring timely delivery of critical business metrics with a focus on automation, efficiency, and fault tolerance
- Drive database performance optimization through workload management, query tuning, and monitoring strategies that maintain high availability and fast response times for analytical workloads
- Enable data-driven decision-making by partnering with BI Engineers and Data Scientists to deliver self-service analytics, data visualization, and machine learning solutions that reduce time-to-insight
- Establish and maintain data quality frameworks, data catalogs, and governance processes that protect data integrity and empower business users to discover and trust the data they rely on
A day in the life
You'll start mornings checking pipeline health and resolving data delivery issues. Deep-focus time is spent building new ETL pipelines, optimizing Redshift queries, or designing data models. Afternoons shift to collaborating with BI Engineers on visualization requirements, supporting Data Scientists with feature engineering, or translating business questions from transportation procurement stakeholders into technical solutions. You'll balance hands-on Python and SQL coding with design reviews and knowledge sharing-ensuring teams across Amazon's global supply chain have the reliable, timely data they need.
About the team
GSCTP is an organization under worldwide operations that develops and maintains strategic relationships with third party (3P) supply chain and transportation service providers. The team's mission is to secure capacity from third-party providers, increase cost efficiencies of the business, expand supplier capabilities, and improve the overall quality of our products and services.
ACT is an expanding business unit under worldwide operations for Customs Brokerage operations. Customs brokerage involves the coordination of a complex network of sellers, shippers, logistics service providers, compliance, and government authorities to facilitate clearance of goods for cross-border transportation.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, or related fields
- 3+ years of data engineering experience
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in transportation or supply chain
- Knowledge of quantitative data analysis and statistics
- Master's degree
- 5+ years of data engineering experience
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
