Data Engineer II, Foundational People Data Services
Data Engineer II, Foundational People Data Services
Posted on :
23-07-2025
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1 Vacancy
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Job Description
Are you passionate about data and eager to make an impact at Amazon We have the perfect career opportunity for you.
The Foundational People Data Services team at Amazon is seeking an exceptional Data Engineer to join our data team. Our data platform delivers business intelligence to a diverse global community of internal customers drawing from one of the worlds largest and most complex data sets. At Amazon we have a culture of data-driven decision-making and require business intelligence that is timely accurate and actionable.
As a Data Engineer you will be responsible for designing and implementing data solutions using Amazons cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. Were looking for someone with a strong drive to answer why questions excellent analytical abilities and strong technical skills. Good written and verbal communication skills are essential. Were seeking a self-starter who is comfortable with ambiguity able to think big while paying careful attention to detail and thrives in a fast-paced dynamic environment.
If youre ready to influence Amazons data landscape and drive impactful decisions we want to hear from you!
Key job responsibilities
- Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
- Contribute to the architecture and implementation of next generation data solutions from the ground up.
- Manage AWS resources including S3 Athena Batch lambda etc.
- Optimize automated processes for performance and fault tolerance.
- Optimize support for ad-hoc analysis across various data sources
- Collaborate with BI Engineers Software Engineers and cross-functionally to deliver high quality data architecture and pipelines.
- Make large and/or complex data more accessible understandable and usable by applications and teams.
A day in the life
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build end-to-end analytical solutions that are highly available scalable stable secure and cost-effective. You strive for simplicity demonstrate creativity and sound judgement. You deliver data solutions that are customer focused easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
About the team
Beginning in 2022 we built Foundational People Data Services a secure reliable and fast way to store and consume worker data. We have helped builders across Amazon invent 7800 and growing experiences with our AWS-like 1P data services which focus on the builder experience. We obsess over ensuring our data services are as foundational as electricity and water always available completely reliable and convenient to use by builders. Weve launched a secure and scalable people data store and event publishing bus; a people data catalog with federated ownership and compliance; role-based authorization and access controls to protect confidentiality; streamlined privacy reviews depersonalization and data subject access/deletion requests (DSARs/DSDRs); Tier-1 real-time data APIs for people data (PAPI); high-volume data transfer to the Andes data lake; and synthetic worker data to streamline testing.
We have seen rapid growth with Amazon systems consuming 1 trillion employee records annually through billions of API calls to our 1P data services each week. We now have 5000 builder customer teams across AWS Alexa Payroll Builder Tools MyHR A to Z Clarity GREF Workplace Health & Safety Time and Attendance and more over 75% of them are outside of People Experience & Technology (PXT). Our 1P data services offer real-time APIs and updates powering vital end-user tools like Phone Tool (1100 page views per minute and 50M per month) Chime (800K calls per workday) Slack (350k employees and contingent workers using per workday) facilities badge access (95k salaried employees currently swipe in/out of their building each work day) LDAP internal systems access payroll and more.
- 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)
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.
The Foundational People Data Services team at Amazon is seeking an exceptional Data Engineer to join our data team. Our data platform delivers business intelligence to a diverse global community of internal customers drawing from one of the worlds largest and most complex data sets. At Amazon we have a culture of data-driven decision-making and require business intelligence that is timely accurate and actionable.
As a Data Engineer you will be responsible for designing and implementing data solutions using Amazons cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. Were looking for someone with a strong drive to answer why questions excellent analytical abilities and strong technical skills. Good written and verbal communication skills are essential. Were seeking a self-starter who is comfortable with ambiguity able to think big while paying careful attention to detail and thrives in a fast-paced dynamic environment.
If youre ready to influence Amazons data landscape and drive impactful decisions we want to hear from you!
Key job responsibilities
- Gather business and functional requirements and translate these requirements into robust scalable operable solutions with a flexible and adaptable data architecture.
- Contribute to the architecture and implementation of next generation data solutions from the ground up.
- Manage AWS resources including S3 Athena Batch lambda etc.
- Optimize automated processes for performance and fault tolerance.
- Optimize support for ad-hoc analysis across various data sources
- Collaborate with BI Engineers Software Engineers and cross-functionally to deliver high quality data architecture and pipelines.
- Make large and/or complex data more accessible understandable and usable by applications and teams.
A day in the life
As a Data Engineer you will provide technical leadership lead data engineering initiatives and build end-to-end analytical solutions that are highly available scalable stable secure and cost-effective. You strive for simplicity demonstrate creativity and sound judgement. You deliver data solutions that are customer focused easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
About the team
Beginning in 2022 we built Foundational People Data Services a secure reliable and fast way to store and consume worker data. We have helped builders across Amazon invent 7800 and growing experiences with our AWS-like 1P data services which focus on the builder experience. We obsess over ensuring our data services are as foundational as electricity and water always available completely reliable and convenient to use by builders. Weve launched a secure and scalable people data store and event publishing bus; a people data catalog with federated ownership and compliance; role-based authorization and access controls to protect confidentiality; streamlined privacy reviews depersonalization and data subject access/deletion requests (DSARs/DSDRs); Tier-1 real-time data APIs for people data (PAPI); high-volume data transfer to the Andes data lake; and synthetic worker data to streamline testing.
We have seen rapid growth with Amazon systems consuming 1 trillion employee records annually through billions of API calls to our 1P data services each week. We now have 5000 builder customer teams across AWS Alexa Payroll Builder Tools MyHR A to Z Clarity GREF Workplace Health & Safety Time and Attendance and more over 75% of them are outside of People Experience & Technology (PXT). Our 1P data services offer real-time APIs and updates powering vital end-user tools like Phone Tool (1100 page views per minute and 50M per month) Chime (800K calls per workday) Slack (350k employees and contingent workers using per workday) facilities badge access (95k salaried employees currently swipe in/out of their building each work day) LDAP internal systems access payroll and more.
- 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)
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
Department / Functional Area
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