Data Engineer II, Global Logistics, Exports

As a Data Engineer II in Amazons Global Logistics (GL) Exports team you will play a crucial role in supporting Amazons vision of providing worldwide cross-border product selection at competitive prices. Youll leverage data and analytics to enhance experiences for customers sellers and vendors navigating international trade and logistics. Your work will directly impact Amazons ability to scale globally and deliver innovative solutions in e-commerce.



Key job responsibilities
- Design and build scalable ETL pipelines using Python Spark SQL and AWS services (S3 Glue Redshift EMR Lambda Kinesis)
- Develop data architecture schemas and internal tools/APIs for analytics and reporting
- Work with relational and non-relational databases ensuring data quality and scalability
- Manage AWS resources and implement security controls data governance and compliance standards
- Ensure operational excellence through monitoring troubleshooting and root cause analysis
- Automate processes to increase efficiency and enable self-service capabilities
- Partner with Software Developers Data Scientists and business stakeholders to deliver data solutions
- Participate in code reviews design discussions and provide technical leadership
- Apply AI/ML technologies (generative AI LLMs) to data engineering use cases
- Skilled at designing and building internal tools APIs or software applications that serve data products or automate business processes

A day in the life
Your typical day might involve collaborating with cross-functional teams to understand data requirements designing and implementing ETL pipelines optimizing queries for better performance and exploring new AWS technologies to enhance our data infrastructure. Youll work on complex data challenges contribute to the teams technical discussions and play a key role in driving data-driven decision-making across the organization.

About the team
Youll join Amazons Global Logistics (GL) team working at the forefront of global trade and logistics innovation. This role offers an exciting opportunity to solve complex challenges with data and drive significant business impact. Youll be part of a team dedicated to shaping the future of e-commerce and global trade through data-driven solutions.



- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience working proactively and independently meeting deadlines and delivering on projects and tasks

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Bachelors degree or above in Engineering Technology Science Operations Research Robotics Mathematics or related fields or a PhD and experience working for Amazon or any Amazon subsidiary or affiliate
- If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 WA Bellevue - 132100.00 - 178800.00 USD annually