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Home›Jobs›Amazon›Sr. AI Platform Data Engineer, Ring Decision Science
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Sr. AI Platform Data Engineer, Ring Decision Science

Amazon • Hawthorne, California, USA

Posted 6d agoSeniorData engineer📍 Hawthorne
Apply Now →

Skills & Technologies

AIMachine learningData engineeringBusiness intelligenceData pipelines

Overview

Amazon is hiring a Senior AI Platform Data Engineer to develop platforms and AI solutions. You'll work with data engineering, business intelligence, and AI/ML initiatives. This role requires strong technical and analytical skills.

Job Description

Who you are

You are a seasoned Data Engineer with a focus on AI platforms, possessing strong technical, analytical, and communication skills. With a background in data engineering and business intelligence, you thrive at the intersection of technology and stakeholder management. You embrace prompt-driven development and have experience in building AI solutions that enhance data quality and usability. Your ability to partner with software development engineers, scientists, and business stakeholders sets you apart as a trusted technical partner.

You have a first-principles approach to leveraging AI across the data stack, utilizing AI agents to optimize code and build AI-powered platforms. Your experience includes designing and implementing scalable data pipelines that are privacy and security compliant, ensuring that curated datasets are readily available for AI/ML consumption. You understand the importance of self-service analytics and are committed to delivering well-modeled, easily discoverable data optimized for specific use cases.

Desirable

Experience with AI-native self-service data platforms and a strong understanding of AI/ML initiatives will be beneficial. Familiarity with various data engineering tools and methodologies will enhance your ability to succeed in this role.

What you'll do

In this role, you will build and maintain efficient, scalable data pipelines that support AI/ML initiatives. You will design platform features and curated datasets that enhance the neighbor experience at Amazon. Your responsibilities will include collaborating with cross-functional teams to deliver data solutions that meet business needs. You will leverage AI to automate processes and create self-improving systems that continuously enhance data quality and discoverability.

You will evangelize platform features and work closely with data science teams to ensure that the data infrastructure supports their analytical needs. Your role will require you to stay updated on the latest AI technologies and methodologies, applying them to improve the efficiency and effectiveness of data operations. You will also be responsible for ensuring that all data solutions comply with privacy and security standards, maintaining the integrity of the data.

What we offer

At Amazon, we provide a comprehensive benefits package that includes competitive compensation, equity options, and a full range of medical and financial benefits. You will have the opportunity to work in a collaborative environment that values innovation and continuous improvement. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products.

Interested in this role?

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