Data Engineer II, Payroll Tech
Data Engineer II, Payroll Tech
Posted on :
10-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Payroll Technology at Amazon is all about enabling our business to perform at scale as efficiently as possible with no defects. As Amazons workforce grows both in size and geography Amazons payroll operations become increasingly complex and our customers are asked to do more with less. Process can only get them so far and thats where we come in with technology solutions to integrate and automate systems detect defects before payment and provide insights. As a data engineer in payroll you will have to onboard payroll vendors across various geographies by building versatile and scalable design solutions. Having strong written and verbal communication and the ability to communicate with end users in non-technical terms is vital to your long-term success.
The ideal candidate will have experience working with large datasets distributed computing technologies and service-oriented architecture. The candidate should relish working with large volumes of data and enjoys the challenge of highly complex technical contexts. He/she should be an expert with data modeling ETL design and business intelligence tools and has hand-on knowledge on columnar databases. He/she is a self-starter comfortable with ambiguity able to think big and enjoys working in a fast-paced team.
Responsibilities:
Design build and own all the components of a high-volume data warehouse end to end.
Build efficient data models using industry best practices and metadata for ad-hoc and pre-built reporting
Provide wing-to-wing data engineering support for project lifecycle execution (design execution and risk assessment)
Interface with business customers gathering requirements and delivering complete data & reporting solutions owning the design development and maintenance of ongoing metrics reports dashboards etc. to drive key business decisions
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
Interface with other technology teams to extract transform and load (ETL) data from a wide variety of data sources
Own the functional and nonfunctional scaling of software systems in your ownership area.
Implement big data solutions for distributed computing.
Willing to learn and develop strong skill set in AWS technologies
Key job responsibilities
As a DE on our team you will be responsible for leading the data modelling database design and launch of some of the core data pipelines. You will have significant influence on our overall strategy by helping define the data model drive the database design and spearhead the best practices to delivery high quality products.
A day in the life
You are expected to do data modelling database design build data pipelines as per Amazon standards design reviews and supporting data privacy and security initiatives. You will attend regular stand-up meetings and provide your updates. You will keep an eye out for opportunities to improve the product or user experience and suggest those enhancements. You will participate in requirement grooming meetings to ensure the use cases we deliver are complete and functional. You will take your turn at on-call and own production operational maintenance. You will respond to customer issues and monitor databases for healthy state and performance.
About the team
Our mission is to build applications which can solve challenges Global Payroll Operations teams face on daily basis automate the tasks they perform manually provide them seamless experience by integrating with other dependent systems and eventually reduce Pay Defects and improve pay accuracy
- 3 years of data engineering experience
- 4 years of SQL 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)
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.
The ideal candidate will have experience working with large datasets distributed computing technologies and service-oriented architecture. The candidate should relish working with large volumes of data and enjoys the challenge of highly complex technical contexts. He/she should be an expert with data modeling ETL design and business intelligence tools and has hand-on knowledge on columnar databases. He/she is a self-starter comfortable with ambiguity able to think big and enjoys working in a fast-paced team.
Responsibilities:
Design build and own all the components of a high-volume data warehouse end to end.
Build efficient data models using industry best practices and metadata for ad-hoc and pre-built reporting
Provide wing-to-wing data engineering support for project lifecycle execution (design execution and risk assessment)
Interface with business customers gathering requirements and delivering complete data & reporting solutions owning the design development and maintenance of ongoing metrics reports dashboards etc. to drive key business decisions
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
Interface with other technology teams to extract transform and load (ETL) data from a wide variety of data sources
Own the functional and nonfunctional scaling of software systems in your ownership area.
Implement big data solutions for distributed computing.
Willing to learn and develop strong skill set in AWS technologies
Key job responsibilities
As a DE on our team you will be responsible for leading the data modelling database design and launch of some of the core data pipelines. You will have significant influence on our overall strategy by helping define the data model drive the database design and spearhead the best practices to delivery high quality products.
A day in the life
You are expected to do data modelling database design build data pipelines as per Amazon standards design reviews and supporting data privacy and security initiatives. You will attend regular stand-up meetings and provide your updates. You will keep an eye out for opportunities to improve the product or user experience and suggest those enhancements. You will participate in requirement grooming meetings to ensure the use cases we deliver are complete and functional. You will take your turn at on-call and own production operational maintenance. You will respond to customer issues and monitor databases for healthy state and performance.
About the team
Our mission is to build applications which can solve challenges Global Payroll Operations teams face on daily basis automate the tasks they perform manually provide them seamless experience by integrating with other dependent systems and eventually reduce Pay Defects and improve pay accuracy
- 3 years of data engineering experience
- 4 years of SQL 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)
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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
