Data Engineer III, Amazon Key
Data Engineer III, Amazon Key
Posted on :
23-06-2025
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1 Vacancy
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Job Description
Come join the Amazon Key team where were building secure scalable access and delivery solutions for homes businesses and multifamily properties. We are looking for a Data Engineer III to help design and scale the next generation of data infrastructure that powers our smart access and delivery products.
In this role you will work on unifying fragmented data pipelines building robust data models and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers product managers and analytics teams to develop data solutions that drive innovation and operational excellence.
The ideal candidate brings deep expertise in big data technologies strong data modeling and problem-solving skills and a track record of delivering scalable maintainable data systems. If youre excited by the challenge of shaping data platforms that support real-world hardware software and operations this is the role for you.
Key job responsibilities
Architect and implement scalable reliable and secure data pipelines and infrastructure to support analytics reporting and business operations.
Design and enforce data modeling standards data lineage and governance frameworks that ensure consistency reusability and quality across systems.
Lead design and code reviews driving engineering best practices across data development documentation testing and monitoring.
Build data platforms and frameworks that support both batch and real-time processing enabling flexible efficient analytics at scale.
Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g. GDPR SOC2).
Evaluate and introduce emerging technologies to improve data platform performance cost efficiency and scalability.
Collaborate with cross-functional teams to gather data requirements define solution architectures and ensure alignment with business needs.
Mentor junior engineers and contribute to team hiring and onboarding fostering a culture of technical excellence and continuous learning.
- Bachelors degree in Computer Science Engineering or a related technical discipline
- 7 years of relevant work experience in data engineering business intelligence or related field
- Advanced proficiency in SQL ETL management data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Strong critical thinking skills and attention to detail
- Experience mentoring team members on best practices
- Advanced degree (Masters) in Computer Science Computer Engineering or a quantitative field preferred
- Experience in leading and architecting Data solutions using AWS data services (Redshift S3 Glue EMR Kinesis Lambda RDS Bedrock) and understanding of IAM security frameworks.
- Proven track record of tackling highly ambiguous complex data challenges and delivering impactful solutions.
- Hands-on experience working with large language models including understanding of data infrastructure requirements for AI model training.
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 $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.
In this role you will work on unifying fragmented data pipelines building robust data models and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers product managers and analytics teams to develop data solutions that drive innovation and operational excellence.
The ideal candidate brings deep expertise in big data technologies strong data modeling and problem-solving skills and a track record of delivering scalable maintainable data systems. If youre excited by the challenge of shaping data platforms that support real-world hardware software and operations this is the role for you.
Key job responsibilities
Architect and implement scalable reliable and secure data pipelines and infrastructure to support analytics reporting and business operations.
Design and enforce data modeling standards data lineage and governance frameworks that ensure consistency reusability and quality across systems.
Lead design and code reviews driving engineering best practices across data development documentation testing and monitoring.
Build data platforms and frameworks that support both batch and real-time processing enabling flexible efficient analytics at scale.
Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g. GDPR SOC2).
Evaluate and introduce emerging technologies to improve data platform performance cost efficiency and scalability.
Collaborate with cross-functional teams to gather data requirements define solution architectures and ensure alignment with business needs.
Mentor junior engineers and contribute to team hiring and onboarding fostering a culture of technical excellence and continuous learning.
- Bachelors degree in Computer Science Engineering or a related technical discipline
- 7 years of relevant work experience in data engineering business intelligence or related field
- Advanced proficiency in SQL ETL management data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Strong critical thinking skills and attention to detail
- Experience mentoring team members on best practices
- Advanced degree (Masters) in Computer Science Computer Engineering or a quantitative field preferred
- Experience in leading and architecting Data solutions using AWS data services (Redshift S3 Glue EMR Kinesis Lambda RDS Bedrock) and understanding of IAM security frameworks.
- Proven track record of tackling highly ambiguous complex data challenges and delivering impactful solutions.
- Hands-on experience working with large language models including understanding of data infrastructure requirements for AI model training.
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 $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.
Employment Type
Full-Time
Department / Functional Area
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