Amazon.com Services LLC
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Amazon.com Services LLC. Skills: Data engineering, ETL pipelines, AI integration. Architect data infrastructure. Develop data infrastructure”
What You'll Achieve.
Optimize for business impact
Industry & Context.
Turning ambiguity into actionable recommendations
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with building ETL pipelines, Experience with SQL, Experience with one or more query language, Experience with one or more scripting language
Nice to Have
Experience with big data technologies, Experience with any ETL tool
What You'll Do.
Architect data infrastructure
Develop data infrastructure
Maintain data infrastructure
Accelerate development using AI tools
Improve code quality using AI tools
Implement ETL pipelines
Implement BI solutions
Embed AI into data workflows
Explore new data sources
Stay up to date with advancements
Contribute to pilot projects
Identify data-related issues
Resolve data-related issues
Reduce operational load
Use AI-assisted automation
How You'll Work.
Team & Collaboration
Work with Product Managers; Work with Software Engineers; Work with Finance Managers; Work with Marketing Managers; Work with Data Engineers; Work with BI Engineers; Collaborate with business owners; Collaborate with SDEs; Collaborate with BI Engineers
Communication Scope
Communicating with stakeholders
Full Job Description
Are you interested in using AI and data to drive the next phase of Amazon's growth? Amazon Fuse (https://www.amazonfuse.com/) helps third party subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset. They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations. They find opportunities where data will lead to better outcomes and mobilize the DA team to meet them. In this role, you will be a technical expert with growing scope and impact. You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for business impact. We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team. You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data pipelines that power AI-driven products and proactively identifying opportunities to embed AI into data workflows such as data validation, transformation logic, and documentation. Key job responsibilities - Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality. - E
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