Data Engineer, Data Center Engineering Analytics

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Cloud

Description For Data Engineer, Data Center Engineering Analytics

Amazon is seeking a Data Engineer to join the AWS Data Center Engineering team, which is responsible for maintaining AWS data center availability and directly impacting customer experience. This role combines analytical expertise with technical prowess to build and maintain data pipelines that process vast amounts of operational data from the AWS fleet. The position offers an opportunity to work in a fast-paced environment where data-driven decision making is paramount.

The role involves collaborating with Business Intelligence Engineers and various stakeholders to create scalable data infrastructure solutions. You'll be responsible for understanding and managing operational data from AWS facilities, building reliable data pipelines, and ensuring data quality for business intelligence applications. The work directly influences engineering decisions and strategy for AWS infrastructure.

AWS Infrastructure Services manages all aspects of AWS global infrastructure, including design, planning, delivery, and operations. The team supports all AWS data centers and the essential equipment that ensures continuous customer access to AWS services. You'll join a diverse team of professionals, including software engineers, hardware specialists, and operations managers, working on complex supply chain challenges.

The ideal candidate will possess strong analytical abilities, technical skills, and an intense curiosity for data-driven solutions. You'll need to be comfortable with ambiguity, think creatively, and deliver high-quality solutions within challenging timeframes. The role offers opportunities for professional growth, mentorship, and the chance to work with cutting-edge technology in a collaborative, inclusive environment.

Amazon values diverse experiences and maintains a strong focus on work-life harmony. The company offers various employee-led affinity groups and ongoing learning opportunities, including diversity-focused conferences and events. Whether you're early in your career or bring non-traditional experience, Amazon welcomes candidates who can contribute to their innovative culture.

Last updated 13 days ago

Responsibilities For Data Engineer, Data Center Engineering Analytics

  • Collaborate with Business Intelligence Engineering team members and stakeholders to gather requirements
  • Build robust, scalable data infrastructure within AWS architecture
  • Develop deep understanding of operational data from AWS fleet
  • Build mechanisms for retrieving and aggregating data
  • Take ownership of data reliability and perform deep-dives for root cause analysis
  • Optimize performance of data queries and ETL procedures
  • Maintain highest standards in reporting and analysis

Requirements For Data Engineer, Data Center Engineering Analytics

Python
Java
  • Bachelor's degree
  • 3+ years of data engineering experience
  • 3+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Benefits For Data Engineer, Data Center Engineering Analytics

  • Work-life harmony
  • Mentorship and career growth opportunities
  • Inclusive team culture
  • Employee-led affinity groups
  • Ongoing learning experiences

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