Join Amazon's Global Logistics (GL) team as a Senior Data Engineer to help bring worldwide cross-border product selection to customers while enabling sellers and vendors to navigate international trade and logistics effectively. You'll develop analytical solutions that drive insights and optimization, working with talented program managers, product managers, software developers, and business leaders to design Amazon's network of the future.
Key job responsibilities
- Design and implement data modeling, warehousing, and ETL pipeline solutions
- Improve corporate reporting frameworks and data visualization systems
- Analyze performance data to discover and solve real-world problems
- Build metrics and business cases to enhance decision-making
- Mentor team members on technical best practices
- Collaborate cross-functionally with transportation, tech, operations, and finance teams
- Drive solutions for large-scale, ambiguous problems using analytics and engineering expertise
A day in the life
As a Senior Data Engineer, you'll start your day collaborating with cross-functional partners to understand their data needs. You might spend time optimizing ETL pipelines, reviewing code with team members, or designing new data models. You'll participate in technical discussions to solve complex problems and mentor junior team members. Your work directly impacts Amazon's global logistics operations, helping to ensure products reach customers efficiently worldwide.
About the team
Global Logistics supports Amazon's strategic vision by enabling worldwide product selection at the lowest prices for our customers. We help sellers and vendors navigate international trade and logistics challenges. Our team is passionate about solving complex problems and driving innovation in global commerce. We value diverse perspectives and encourage continuous learning and growth.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here:
https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re 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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
