Senior Software Engineer Advanced Analytics Data Pipelines

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

Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is building a greenfield, petabyte-scale analytics infrastructure for ad data in Seattle, WA. The role focuses on transforming raw log-level data, creating scalable pipelines, and exposing queryable formats for analysts and data scientists.

You will contribute to robust, high-performance systems from day one. You will design and implement data-driven solutions, optimize costs, and participate in reviews and on-call rotations.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience.
• 1+ years of Object Oriented Design experience.
• Experience programming with at least one software programming language.
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Responsibilities

• Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs)
• Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns and best practices
• Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently
• Implement data quality checks, validation logic, and monitoring for data pipelines and services
• Optimize performance and cost efficiency of data processing jobs and queries
• Write clean, well-tested code and participate in code reviews to maintain high engineering standards
• Collaborate with senior engineers to contribute to design discussions and architectural decisions
• Debug and resolve production issues, participating in on-call rotations as needed
• Document systems, processes, and runbooks to support operational excellence

Skills

C#

C++

Java

Perl

Object Oriented Design

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon is building a greenfield, petabyte-scale analytics infrastructure for ad data in Seattle, WA. The role focuses on transforming raw log-level data, creating scalable pipelines, and exposing queryable formats for analysts and data scientists.

You will contribute to robust, high-performance systems from day one. You will design and implement data-driven solutions, optimize costs, and participate in reviews and on-call rotations.