Data Engineer, Customer Engagement Technology
Data Engineer, Customer Engagement Technology
Posted on :
13-06-2025
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1 Vacancy
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Job Description
is broadly recognized as #1 in customer service in the US and abroad. At Amazon we drive innovation and customer obsession into everything we do and this is especially true in the Customer Engagement Technology (CET) department. CET owns the technology to support and enhance our customer service operations network through our self-service and automation features and various client applications.
Amazon seeks a Data Engineer to help build the data infrastructure that backs experimentation and analytics in Customer Service. We are a customer-obsessed team looking for someone who adheres to the highest data quality and governance standards and can provide clear direction when faced with ambiguity.
Key job responsibilities
As a Data Engineer you will support an emerging charter to enable experimentation and self-service analytics within Amazons worldwide Customer Service organization.
Strategic Data Advisory:
- Partner with product and technical stakeholders to define optimal data emission patterns
- Provide expert guidance on data architecture to support diverse use cases from basic analytics to GenAI applications
- Develop deep understanding of product features and existing data landscape to identify enrichment opportunities
- Design data models that accommodate both expert users (data scientists ML engineers) and non-expert users (analysts business users)
- Drive standardization of data practices across multiple product teams
Data Architecture & Platform:
- Lead the design and implementation of a scalable department-wide data platform
- Architect data pipelines that support real-time and batch processing needs
- Build foundational tables optimized for various consumption patterns (AI/ML analytics reporting)
- Ensure data platform meets security governance and compliance requirements
- Implement data quality frameworks and monitoring systems
Technical Leadership:
- Guide teams on best practices for data emission and integration
- Design data models that balance immediate needs with long-term extensibility
- Establish patterns for data discovery and self-service access
- Drive adoption of data engineering best practices across teams
- Mentor other engineers on data architecture principles
A day in the life
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!
Benefits Summary:
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
About the team
his role sits on a team within CET focused on contact flows and self service automation. We are responsible for managing every customer contact ensuring customers are connected to a customer service associate who can solve their issue on the first contact. We ensure the operations teams can manage the configuration and setups on Connect as they scale and expand to new marketplaces. We ensures quick issue resolution on the first contact by investing in foundational technologies to capture and persist contact flow decisions and experience scores.
- 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
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 $139100/year in our lowest geographic market up to $240500/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.
Amazon seeks a Data Engineer to help build the data infrastructure that backs experimentation and analytics in Customer Service. We are a customer-obsessed team looking for someone who adheres to the highest data quality and governance standards and can provide clear direction when faced with ambiguity.
Key job responsibilities
As a Data Engineer you will support an emerging charter to enable experimentation and self-service analytics within Amazons worldwide Customer Service organization.
Strategic Data Advisory:
- Partner with product and technical stakeholders to define optimal data emission patterns
- Provide expert guidance on data architecture to support diverse use cases from basic analytics to GenAI applications
- Develop deep understanding of product features and existing data landscape to identify enrichment opportunities
- Design data models that accommodate both expert users (data scientists ML engineers) and non-expert users (analysts business users)
- Drive standardization of data practices across multiple product teams
Data Architecture & Platform:
- Lead the design and implementation of a scalable department-wide data platform
- Architect data pipelines that support real-time and batch processing needs
- Build foundational tables optimized for various consumption patterns (AI/ML analytics reporting)
- Ensure data platform meets security governance and compliance requirements
- Implement data quality frameworks and monitoring systems
Technical Leadership:
- Guide teams on best practices for data emission and integration
- Design data models that balance immediate needs with long-term extensibility
- Establish patterns for data discovery and self-service access
- Drive adoption of data engineering best practices across teams
- Mentor other engineers on data architecture principles
A day in the life
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!
Benefits Summary:
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
About the team
his role sits on a team within CET focused on contact flows and self service automation. We are responsible for managing every customer contact ensuring customers are connected to a customer service associate who can solve their issue on the first contact. We ensure the operations teams can manage the configuration and setups on Connect as they scale and expand to new marketplaces. We ensures quick issue resolution on the first contact by investing in foundational technologies to capture and persist contact flow decisions and experience scores.
- 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
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 $139100/year in our lowest geographic market up to $240500/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
Department / Functional Area
Key Skills
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