Amazon.com Services LLC

Advertising Technology

SoftwareDevelopmentEngineer,AdvancedAnalytics-LLD

$70–194k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Development Engineer, Advanced Analytics - LLD at Amazon.com Services LLC. Skills: Advanced analytics, Data engineering, Software development. Implement scalable data pipelines. Ingest log-level advertising data”

What You'll Achieve.

Empower smarter advertising decisions; Empower faster advertising decisions; Empower impactful advertising decisions; Understand auction competitiveness; Identify revenue opportunities; Optimize floor pricing; Ensure supply chain transparency

Industry & Context.

Advertising Technology
Problems you'll solve

Debug production issues

Eligibility Requirements

On-call rotations

What They're Looking For.

Must Have

3+ years software development experience, 2+ years system design/architecture experience, 1+ years software development engineer experience, 1+ years large-scale distributed software experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field

Nice to Have

3+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent, Demonstrated track record of innovative AI solution development, Experience with natural language processing, Experience with generative model architectures

What You'll Do.

Implement scalable data pipelines

Ingest log-level advertising data

Process log-level advertising data

Store log-level advertising data

Transform event-level data

Develop data storage components

Develop data access layers

Create APIs for data querying

Implement data quality checks

Implement data validation logic

Implement monitoring for data pipelines

Optimize data processing performance

Optimize data processing cost

Optimize query performance

Write well-tested code

Participate in code reviews

Understand technical requirements

Contribute to design discussions

Debug production issues

Participate in on-call rotations

How You'll Work.

Team & Collaboration

Senior engineers; Analytics teams; Data scientists

Full Job Description

We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions. In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency. As a Software Development Engineer on the Log-Level Data team, you will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency for Amazon's largest advertising partners. Key job 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 - Develop components of data storage solutions and access layers, working within e

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