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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer, Amazon Fuse - **Company:** Amazon.com, Inc. - **Location:** Miami, FL, United States - **Experience:** Expert - **Salary:** $154,600.0 - $209,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Software Quality, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Apache Hadoop, Apache Hive, Python (Programming Language), Node.Js, Standard Sql, Scala (Programming Language), SQL Databases, Scripting, Apache Spark, Session Description Protocol Security Descriptions (SDES), Electronic Medical Records, Data Analytics, Data Pipelines, Programming Languages - **Published:** June 26, 2026 - **Apply:** https://dejobs.org/x/x/D686F68E217149719A52D0273D408DEA/job/ ## About the Role * 7+ years of data engineering experience * Experience with data modeling, warehousing and building ETL pipelines * Experience with SQL * Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS * Experience mentoring team members on best practices Preferred Qualifications * Experience with big data technologies such as: Hadoop, Hive, Spark, EMR * Experience operating large data warehouses ## Description Are you interested in using AI and data to drive the next phase of Amazon's growth?, The Fuse Data Analytics (DA) team is looking for a Sr. 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., * Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality. * Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies. * Design and implement ETL pipelines and BI solutions, identifying opportunities to embed AI into data workflows such as data validation and transformation logic. * Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights. * Stay up to date with advancements in big data and AI technologies and contribute to pilot projects. * Proactively identify and resolve data-related issues reducing operational load on the team, using AI-assisted automation where applicable. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Stop using Node.js like in 2020! 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