Attribution & Measurement Systems Engineer

JobCubby; Seattle, Northern (WA, KY); Hybrid; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a software engineer to build attribution systems that connect ad interactions with real customer outcomes, processing 50B+ events daily in Seattle. You will own design, implementation, and operations of scalable data products driving measurement across Amazon Ads.

You will collaborate with applied scientists, economists, and product teams to translate measurement methodologies into production systems, using Spark, EMR, Iceberg, and Java in a high‑throughput environment.

Qualifications

• 3+ years of non-internship professional software development experience.
• Experience with large-scale, distributed software systems using Java, C++, or Perl.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• Design, develop, and deliver software that produces measurement data for Amazon's ads suite.
• Build and maintain petabyte-scale data pipelines using Spark, EMR, Iceberg, and Java.
• Collaborate with applied scientists, economists, product managers, and engineers to translate measurement methodologies into scalable production systems.
• Apply architectural patterns to deliver scalable and well-tested solutions in a high-throughput environment.
• Drive engineering best practices including code reviews, testing, and monitoring.

Skills

Java

C++

Perl

Distributed systems

Spark

Education

Bachelor's degree in computer science or equivalent

Tools

Hadoop

Apache Spark

Iceberg

EMR

Job description

Amazon is seeking a software engineer to build attribution systems that connect ad interactions with real customer outcomes, processing 50B+ events daily in Seattle. You will own design, implementation, and operations of scalable data products driving measurement across Amazon Ads.

You will collaborate with applied scientists, economists, and product teams to translate measurement methodologies into production systems, using Spark, EMR, Iceberg, and Java in a high‑throughput environment.