Data Engineer, AMX ITDS Analytics
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 118900 - 205600
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Join Amazons Integrated Talent Development Systems Analytics Team: Shape the Future of 1.5M Amazonian Career Journeys! As a Data Engineer build scalable data infrastructure powering insights for one of the worlds largest workforce development systems.
Looking for a passionate Data Engineer to revolutionize how we process and manage career development data at Amazon. Youll join an experienced team of Data Engineers building robust data pipelines and infrastructure that impact Amazonians across 40 countries.
Key Aspects of the Role:
- Design and implement efficient data models and pipelines for talent development products
- Build and optimize large-scale data solutions with high availability and performance
- Create reliable data infrastructure enabling self-service access to datasets
- Develop and maintain data quality monitoring systems
- Implement secure and scalable data storage solutions
- Establish data SLAs and certification processes
Why This Role Matters:
- Direct impact on career development data infrastructure serving 1.5M Amazonians globally
- Work with talent development systems proprietary to Amazon
- Join a high-performing team of Data Engineers
- Opportunity to shape data architecture for one of Amazons most impactful organizations
- Enable data-driven decision making through robust data infrastructure
This role is perfect for candidates passionate about:
- Building scalable data solutions for enterprise-scale platforms
- Designing and optimizing complex data pipelines
- Working in a fast-paced environment with continuous innovation
- Creating reliable data infrastructure that powers career development insights
Key job responsibilities
- Lead the design and implementation of large data solutions for Amazons proprietary talent products
- Collaborate with stakeholders to understand data requirements and implement appropriate data models
- Develop and maintain efficient ETL processes and data pipelines
- Implement data quality controls and monitoring systems
- Create and optimize physical data models for performance and scalability
- Establish data governance standards and best practices
- Build automated data validation and testing frameworks
- Design and implement data security controls and access patterns
- Optimize query performance and data storage efficiency
- Stay current with the latest data engineering tools and methodologies continuously improving the teams capabilities and efficiency
About the team
The ITDS Analytics team owns both career development and employee onboarding experiences at Amazon. Our team of Data Engineers Business Intelligence Engineers and analytics leadership builds scalable data infrastructure powering the employee journey from day one through their career. We support 1.5M Amazonians globally through robust data architecture pipelines and warehouse solutions that enable data-driven decision making. With our highly collaborative and fast-moving culture were seeking talented Data Engineers passionate about building large-scale data solutions to enhance the Amazon employee experience.
- 3 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 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)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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.
Looking for a passionate Data Engineer to revolutionize how we process and manage career development data at Amazon. Youll join an experienced team of Data Engineers building robust data pipelines and infrastructure that impact Amazonians across 40 countries.
Key Aspects of the Role:
- Design and implement efficient data models and pipelines for talent development products
- Build and optimize large-scale data solutions with high availability and performance
- Create reliable data infrastructure enabling self-service access to datasets
- Develop and maintain data quality monitoring systems
- Implement secure and scalable data storage solutions
- Establish data SLAs and certification processes
Why This Role Matters:
- Direct impact on career development data infrastructure serving 1.5M Amazonians globally
- Work with talent development systems proprietary to Amazon
- Join a high-performing team of Data Engineers
- Opportunity to shape data architecture for one of Amazons most impactful organizations
- Enable data-driven decision making through robust data infrastructure
This role is perfect for candidates passionate about:
- Building scalable data solutions for enterprise-scale platforms
- Designing and optimizing complex data pipelines
- Working in a fast-paced environment with continuous innovation
- Creating reliable data infrastructure that powers career development insights
Key job responsibilities
- Lead the design and implementation of large data solutions for Amazons proprietary talent products
- Collaborate with stakeholders to understand data requirements and implement appropriate data models
- Develop and maintain efficient ETL processes and data pipelines
- Implement data quality controls and monitoring systems
- Create and optimize physical data models for performance and scalability
- Establish data governance standards and best practices
- Build automated data validation and testing frameworks
- Design and implement data security controls and access patterns
- Optimize query performance and data storage efficiency
- Stay current with the latest data engineering tools and methodologies continuously improving the teams capabilities and efficiency
About the team
The ITDS Analytics team owns both career development and employee onboarding experiences at Amazon. Our team of Data Engineers Business Intelligence Engineers and analytics leadership builds scalable data infrastructure powering the employee journey from day one through their career. We support 1.5M Amazonians globally through robust data architecture pipelines and warehouse solutions that enable data-driven decision making. With our highly collaborative and fast-moving culture were seeking talented Data Engineers passionate about building large-scale data solutions to enhance the Amazon employee experience.
- 3 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 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)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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