Data Engineer II, Managed Operations Engineering & Data Science (MOEDS)

Amazon Web Services (AWS) is seeking a Data Engineer II to join their Managed Operations Engineering & Data Science (MOEDS) team. This role is part of AWS's 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.

As a Data Engineer II, 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 implement scalable solutions that support the organization's data-driven initiatives.

The role requires strong technical expertise in data engineering, with at least 3 years of experience in building ETL pipelines, data modeling, and working with distributed systems. Proficiency in programming languages like Python, Java, or NodeJS is essential. Experience with AWS technologies such as Redshift, S3, AWS Glue, and EMR is highly valued.

AWS offers a comprehensive benefits package and emphasizes work-life harmony. The company values diversity and inclusion, providing various employee-led affinity groups and ongoing learning experiences. Career growth opportunities include mentorship and knowledge-sharing resources to help you develop professionally.

This position is based in either Arlington or Herndon, VA, and requires U.S. citizenship. Join AWS to make a significant impact on cloud computing infrastructure while working with cutting-edge technologies and talented professionals.