Data Engineer II, Global Mile
Data Engineer II, Global Mile
Posted on :
30-05-2025
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1 Vacancy
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Job Description
Join Amazons Global Logistics (GL) team as a Data Engineer to help bring worldwide cross-border product selection to customers while enabling sellers and vendors to navigate international trade and logistics effectively. Youll develop analytical solutions that drive insights and optimization working with talented program managers product managers software developers and business leaders to design Amazons 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 Data Engineer youll 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. Youll participate in technical discussions to solve complex problems and mentor junior team members. Your work directly impacts Amazons global logistics operations helping to ensure products reach customers efficiently worldwide.
About the team
Global Logistics supports Amazons 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: 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 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)
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 Data Engineer youll 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. Youll participate in technical discussions to solve complex problems and mentor junior team members. Your work directly impacts Amazons global logistics operations helping to ensure products reach customers efficiently worldwide.
About the team
Global Logistics supports Amazons 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: 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 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)
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Exec
Employment Type
Full-Time
Department / Functional Area
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