Sr. Data Engineer, Managed Operations Engineering & Data Science (MOEDS)

Amazon Web Services (AWS) is seeking a Senior Data Engineer to join their Managed Operations Engineering & Data Science (MOEDS) team. This role is part of AWS's innovative initiative to reduce operational load and toil through long-term engineering projects. The position is within a small, innovative lab working on leveraging data science to identify operational trends across AWS and inform high-value investment decisions.

As a Sr. Data Engineer, you'll be responsible for developing robust data architectures, building efficient data pipelines, and ensuring data quality and accessibility. You'll work closely with business and software teams to understand requirements and design scalable solutions. The role requires expertise in data modeling, warehousing, and ETL processes, along with proficiency in languages like Python, Java, or Scala.

AWS Utility Computing (UC) provides foundational services like S3 and EC2, consistently releasing new product innovations. The team values work-life harmony and promotes an inclusive culture through employee-led affinity groups. Career growth opportunities include mentorship, knowledge-sharing, and professional development resources.

The ideal candidate will have 5+ years of data engineering experience, strong technical skills in distributed systems, and a passion for building highly available data solutions. This position requires U.S. citizenship and offers competitive benefits including medical insurance, 401k, and parental leave.

Join AWS to make a billion-dollar impact while working with cutting-edge cloud technologies and contributing to the world's most comprehensive cloud platform. The role offers the opportunity to work on challenging problems at scale while developing your career in a supportive, innovative environment.