Amazon
Job ID:
3009784 | Amazon.com Services LLC Join the innovative Amazon Key team as we develop cutting-edge, secure, and scalable access and delivery solutions for homes, businesses, and multifamily properties. We are actively seeking a Senior Data Engineer to help design and enhance the next generation of data infrastructure that powers our smart access and delivery products. In this pivotal role, you will have the chance to work on: Unifying fragmented data pipelines Building robust data models Ensuring reliable data lineage across multiple product areas You will collaborate closely with software engineers, product managers, and analytics teams to craft data solutions that promote innovation and operational excellence. We are looking for a candidate with deep expertise in big data technologies, strong problem-solving skills, and a proven ability to deliver scalable, maintainable data systems. If you are passionate about shaping data platforms that support real-world hardware, software, and operations, this is the ideal opportunity for you. Key Responsibilities: Design and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations. Create and enforce data modeling standards, data lineage, and governance frameworks to ensure consistency and quality across systems. Lead design and code reviews, driving engineering best practices in data development, documentation, testing, and monitoring. Build data platforms that facilitate both batch and real-time processing for efficient analytics at scale. Ensure solutions are secure and compliant with relevant regulatory requirements (e.g., GDPR, SOC2). Evaluate emerging technologies to enhance data platform performance and scalability. Collaborate with cross-functional teams to gather data requirements and define effective solution architectures. Mentor junior engineers and contribute to team hiring and onboarding, fostering a culture of excellence and continuous learning. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field. 7+ years of experience in data engineering, business intelligence, or a related discipline. Advanced proficiency in SQL, ETL management, data modeling, and building ETL pipelines. Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS. Strong critical thinking skills and meticulous attention to detail. Experience mentoring team members on best practices. Preferred Qualifications: Master's degree in Computer Science, Computer Engineering, or a quantitative field. Experience in leading and architecting data solutions using AWS services (Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS, Bedrock) with knowledge of IAM security frameworks. Proven ability to tackle complex data challenges and deliver impactful solutions. Hands-on experience with large language models and their data infrastructure requirements for AI model training. Amazon is an equal opportunity employer and welcomes applicants from diverse backgrounds. Our inclusive culture empowers all Amazonians to deliver exceptional results for our customers. If you require assistance or adjustments during the application and hiring process due to a disability, please reach out for support. Compensation for this position ranges from $139,100 to $240,500 annually, depending on location, experience, and skills. We offer a comprehensive total compensation package, including medical, financial, and various other benefits. This position will remain posted until filled. All applicants should apply through our career site.
3009784 | Amazon.com Services LLC Join the innovative Amazon Key team as we develop cutting-edge, secure, and scalable access and delivery solutions for homes, businesses, and multifamily properties. We are actively seeking a Senior Data Engineer to help design and enhance the next generation of data infrastructure that powers our smart access and delivery products. In this pivotal role, you will have the chance to work on: Unifying fragmented data pipelines Building robust data models Ensuring reliable data lineage across multiple product areas You will collaborate closely with software engineers, product managers, and analytics teams to craft data solutions that promote innovation and operational excellence. We are looking for a candidate with deep expertise in big data technologies, strong problem-solving skills, and a proven ability to deliver scalable, maintainable data systems. If you are passionate about shaping data platforms that support real-world hardware, software, and operations, this is the ideal opportunity for you. Key Responsibilities: Design and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations. Create and enforce data modeling standards, data lineage, and governance frameworks to ensure consistency and quality across systems. Lead design and code reviews, driving engineering best practices in data development, documentation, testing, and monitoring. Build data platforms that facilitate both batch and real-time processing for efficient analytics at scale. Ensure solutions are secure and compliant with relevant regulatory requirements (e.g., GDPR, SOC2). Evaluate emerging technologies to enhance data platform performance and scalability. Collaborate with cross-functional teams to gather data requirements and define effective solution architectures. Mentor junior engineers and contribute to team hiring and onboarding, fostering a culture of excellence and continuous learning. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field. 7+ years of experience in data engineering, business intelligence, or a related discipline. Advanced proficiency in SQL, ETL management, data modeling, and building ETL pipelines. Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS. Strong critical thinking skills and meticulous attention to detail. Experience mentoring team members on best practices. Preferred Qualifications: Master's degree in Computer Science, Computer Engineering, or a quantitative field. Experience in leading and architecting data solutions using AWS services (Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS, Bedrock) with knowledge of IAM security frameworks. Proven ability to tackle complex data challenges and deliver impactful solutions. Hands-on experience with large language models and their data infrastructure requirements for AI model training. Amazon is an equal opportunity employer and welcomes applicants from diverse backgrounds. Our inclusive culture empowers all Amazonians to deliver exceptional results for our customers. If you require assistance or adjustments during the application and hiring process due to a disability, please reach out for support. Compensation for this position ranges from $139,100 to $240,500 annually, depending on location, experience, and skills. We offer a comprehensive total compensation package, including medical, financial, and various other benefits. This position will remain posted until filled. All applicants should apply through our career site.