Software Development Engineer II, AWS Data Platform

Job summary

DESCRIPTION Ama*** is seeking an extraordinary Software Development Engineer with Data Engineering background to join the AWS Data Platform team. Our mission is to democratize access to trusted AWS business data — cataloging, governing, enriching, and brokering data through its lifecycle.

Benefits

Qualifications

• and translate them into scalable, low-cost data flows from production systems into the data platform.
• Write design documents, participate in architecture reviews, and raise the engineering bar through design and code reviews.
• A day in the life
• Your primary focus is designing and building data infrastructure — ingestion pipelines, processing workflows, and the tooling that keeps them reliable at scale.
• You will write design documents, collaborate with teammates through code and architecture reviews, and invest in automation that reduces operational burden over time.
• You will work with massive datasets at the intersection of all AWS services, partnering with data engineers, scientists, and business intelligence teams who depend on the platform and the data it produces.
• On-call rotations are shared across the team; when issues arise, the expectation is to fix forward — resolving the immediate problem and improving the system so it does not recur.
• About the team
• You will work closely with teammates who jointly own these systems — collaborating through design reviews, shared on-call, and paired problem-solving.
• You will also partner with cross-functional stakeholders across AWS who produce or consume the data we manage.
• The team values engineering rigor, automation over heroics, and continuous improvement.
• We invest in reducing operational toil so engineers spend their time on meaningful, durable work.

Responsibilities

• Develop automation and tooling that improves the reliability, scalability, and efficiency of data processing workflows across EMR, Spark, Redshift, and ingestion services.
• Collaborate with business owners and internal stakeholders to understand data

Skills

Degrees

Work schedule

Industry

Company size