Amazon.com Services LLC

Technology

DataEngineer

$101–160k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

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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