Data Engineer II, Intelligence & Industrialization
Data Engineer II, Intelligence & Industrialization
Posted on :
14-08-2025
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1 Vacancy
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Job Description
As a Data Engineer II in the Intelligence & Industrialization (I&I) team within Amazons Global Supply Chain and Transportation Procurement/Amazon Customs & Trade (GSCTP/ACT) organization youll develop innovative software solutions to automate processes and enhance efficiency in 3P transportation logistics procurement and customs & trade operations. Youll work on high-visibility projects with immediate substantial impacts on Amazons vast transportation and supply chain network.
Key job responsibilities
- Design and implement analytical data infrastructure for large datasets
- Develop end-to-end ETL and data warehousing solutions using AWS services and Amazon big data technologies
- Build and deploy robust automation solutions with intuitive UIs and backend data pipelines
- Optimize database cluster performance and implement workload management mechanisms
- Collaborate with BI Engineers and Data Scientists to deliver data visualization and ML solutions
- Construct and maintain a data catalog for key tables datasets metrics and reports
- Document software designs and data flows for frontend UI and backend integrations
- Implement Agile methodologies for iterative software development
A day in the life
Youll collaborate closely with business teams to understand their domain and design tailored solutions. Your day might involve extracting and transforming data from various sources optimizing database performance or building new automation tools. Youll work with large datasets leveraging AWS services and modern programming technologies. Youll participate in Agile ceremonies document your work and communicate with stakeholders to ensure your solutions meet their needs.
About the team
The Intelligence & Industrialization (I&I) team is a data analytics sub-team embedded across GSCTP & ACT. We manage relationships with over 100 third-party transportation service providers handling an annual spend exceeding $22B. Our work directly impacts Amazons global supply chain customs brokerage and cross-border transportation operations. We thrive in a fast-paced environment where innovative solutions can make a significant impact on a global scale.
- Bachelors degree
- 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
- Masters degree
- 5 years of data engineering experience
- 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 working in the transportation and logistics industry
- Knowledge of statistical modeling and advanced quantitative analytical techniques
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 analytical data infrastructure for large datasets
- Develop end-to-end ETL and data warehousing solutions using AWS services and Amazon big data technologies
- Build and deploy robust automation solutions with intuitive UIs and backend data pipelines
- Optimize database cluster performance and implement workload management mechanisms
- Collaborate with BI Engineers and Data Scientists to deliver data visualization and ML solutions
- Construct and maintain a data catalog for key tables datasets metrics and reports
- Document software designs and data flows for frontend UI and backend integrations
- Implement Agile methodologies for iterative software development
A day in the life
Youll collaborate closely with business teams to understand their domain and design tailored solutions. Your day might involve extracting and transforming data from various sources optimizing database performance or building new automation tools. Youll work with large datasets leveraging AWS services and modern programming technologies. Youll participate in Agile ceremonies document your work and communicate with stakeholders to ensure your solutions meet their needs.
About the team
The Intelligence & Industrialization (I&I) team is a data analytics sub-team embedded across GSCTP & ACT. We manage relationships with over 100 third-party transportation service providers handling an annual spend exceeding $22B. Our work directly impacts Amazons global supply chain customs brokerage and cross-border transportation operations. We thrive in a fast-paced environment where innovative solutions can make a significant impact on a global scale.
- Bachelors degree
- 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
- Masters degree
- 5 years of data engineering experience
- 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 working in the transportation and logistics industry
- Knowledge of statistical modeling and advanced quantitative analytical techniques
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.
Employment Type
Full-Time
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