Senior Data Engineer, Ring FinTech
Senior Data Engineer, Ring FinTech
Posted on :
26-05-2025
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1 Vacancy
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Job Description
As a Senior Data Engineer on Rings Fintech team youll architect and implement data solutions that power critical financial systems and business decisions. Youll work at the intersection of financial technology and data engineering building robust data pipelines and infrastructure that support key financial platforms. This role offers the opportunity to shape the future of Rings financial data architecture while working with advanced technologies and talented engineers.
Key job responsibilities
- Design and implement scalable data repository architecture and pipelines in collaboration with business and engineering teams
- Establish and maintain data modeling standards and best practices that enable self-service analytics
- Optimize data pipeline performance reliability and cost efficiency through distributed storage and query techniques
- Support real-time data processing needs and streamlining existing data connections
- Manage information security and privacy compliance across data systems and integration points
- Develop robust well-tested code with comprehensive documentation and automated testing
- Maintain data cataloging standards governance policies and documentation while ensuring compliance across all data repositories
- Drive continuous improvement through technical debt remediation and system enhancements
A day in the life
A successful candidate will excel at driving multiple concurrent projects balancing strategic initiatives with urgent operational needs. They must demonstrate the ability to navigate complex stakeholder environments accommodate evolving requirements and drive decisions despite ambiguity.
About the team
Rings mission is to make neighborhoods safer by creating products that work together to help protect homes and communities. What started as a smart doorbell camera has transformed into a whole-home security system powered by a Ring of Security both inside and outside your home. Since its founding in 2013 and acquisition by Amazon in 2018 Ring has been at the forefront of home security innovation offering smart home devices and services that give customers affordable proactive home and neighborhood security.
This role will sit on the Ring Fintech team part of the Ring Controllership team within the Devices & Services division of Amazon. We support management reporting accounting close and operations teams to provide oversight and insight to the Ring business. This role will have cross functional visibility to several finance and product teams in addition to the Ring data engineering team.
- 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 with big data technologies such as: Hadoop Hive Spark EMR
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with Stripe
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Key job responsibilities
- Design and implement scalable data repository architecture and pipelines in collaboration with business and engineering teams
- Establish and maintain data modeling standards and best practices that enable self-service analytics
- Optimize data pipeline performance reliability and cost efficiency through distributed storage and query techniques
- Support real-time data processing needs and streamlining existing data connections
- Manage information security and privacy compliance across data systems and integration points
- Develop robust well-tested code with comprehensive documentation and automated testing
- Maintain data cataloging standards governance policies and documentation while ensuring compliance across all data repositories
- Drive continuous improvement through technical debt remediation and system enhancements
A day in the life
A successful candidate will excel at driving multiple concurrent projects balancing strategic initiatives with urgent operational needs. They must demonstrate the ability to navigate complex stakeholder environments accommodate evolving requirements and drive decisions despite ambiguity.
About the team
Rings mission is to make neighborhoods safer by creating products that work together to help protect homes and communities. What started as a smart doorbell camera has transformed into a whole-home security system powered by a Ring of Security both inside and outside your home. Since its founding in 2013 and acquisition by Amazon in 2018 Ring has been at the forefront of home security innovation offering smart home devices and services that give customers affordable proactive home and neighborhood security.
This role will sit on the Ring Fintech team part of the Ring Controllership team within the Devices & Services division of Amazon. We support management reporting accounting close and operations teams to provide oversight and insight to the Ring business. This role will have cross functional visibility to several finance and product teams in addition to the Ring data engineering team.
- 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 with big data technologies such as: Hadoop Hive Spark EMR
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with Stripe
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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