Data Engineer, Workforce Solutions - Talent Mobility
Data Engineer, Workforce Solutions - Talent Mobility
Posted on :
05-05-2025
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1 Vacancy
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Job Description
How do we improve associate experience What drives hiring engagement and retention of the best and the brightest associates in Amazons Worldwide Operations (supporting hundreds of thousands of dedicated associates and leaders deliver millions of packages and smiles to customers every day)
As a Data Engineer on the WSTM Employee Engagement Solutions team you will support the HR needs of the largest organization in Amazons retail business. Your stakeholders will range from FC HR to data scientists economists software development teams and product managers seeking to improve associate experience. The data products that you build and support will help our leaders focus their efforts on ways that will engage retain and grow their associates to propel the business forward. The EES analytics team supports field and organizational leadership by advising actions informing decisions and identifying risk for Amazons Worldwide Operations. Our teams goal is to help Amazon HR become the worlds most scientific HR organization empowering leaders and enabling action through data and science.
Key job responsibilities
As a Data Engineer you will help us build large scale near realtime data platforms metrics and models that drive actionable insights and scalable processes for Amazons core retail HR operations. You will combine the power of AWS with Amazon internal ETL tools highly optimized SQL and scripting languages to build solutions that scale to serve the worldwide HR operations business needs.
Data Engineers on the team lead the design implementation and successful delivery of ETL services which collectively use 15 AWS services e.g. Lambda Glue Lake Formation CloudWatch API gateway EMR Redshift DynamoDb etc. They are expected to maintain their individual knowledge of these AWS services in order to design efficient scalable costeffective services and data pipelines with high availability (>99.5% SLAs) and data quality and are also expected to be able to work backwards from their customers which requires interfacing across the WS organization at multiple levels and functions and maintaining conceptual knowledge of the data domains required to build foundational datasets.
About the team
You will be part of the Employee Engagement Solutions team within the Workforce Solutions Organization. The Employee Engagement team owns the full suite of employee facing products such as Thrive Engage Gather and Conversation Hub.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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 $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
As a Data Engineer on the WSTM Employee Engagement Solutions team you will support the HR needs of the largest organization in Amazons retail business. Your stakeholders will range from FC HR to data scientists economists software development teams and product managers seeking to improve associate experience. The data products that you build and support will help our leaders focus their efforts on ways that will engage retain and grow their associates to propel the business forward. The EES analytics team supports field and organizational leadership by advising actions informing decisions and identifying risk for Amazons Worldwide Operations. Our teams goal is to help Amazon HR become the worlds most scientific HR organization empowering leaders and enabling action through data and science.
Key job responsibilities
As a Data Engineer you will help us build large scale near realtime data platforms metrics and models that drive actionable insights and scalable processes for Amazons core retail HR operations. You will combine the power of AWS with Amazon internal ETL tools highly optimized SQL and scripting languages to build solutions that scale to serve the worldwide HR operations business needs.
Data Engineers on the team lead the design implementation and successful delivery of ETL services which collectively use 15 AWS services e.g. Lambda Glue Lake Formation CloudWatch API gateway EMR Redshift DynamoDb etc. They are expected to maintain their individual knowledge of these AWS services in order to design efficient scalable costeffective services and data pipelines with high availability (>99.5% SLAs) and data quality and are also expected to be able to work backwards from their customers which requires interfacing across the WS organization at multiple levels and functions and maintaining conceptual knowledge of the data domains required to build foundational datasets.
About the team
You will be part of the Employee Engagement Solutions team within the Workforce Solutions Organization. The Employee Engagement team owns the full suite of employee facing products such as Thrive Engage Gather and Conversation Hub.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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 $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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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