Senior Log-Level Analytics Engineer

Amazon Inc.

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

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Job summary

Amazon.com Services LLC is seeking a Sr. Software Development Engineer for the Advanced Analytics team in Seattle.

You will design and build the data infrastructure to ingest, process, store, and analyze petabyte-scale log-level advertising data from multiple sources, enabling real-time and batch analytics to surface insights and revenue opportunities. You will own end-to-end architecture, implementation, and production operations, mentoring engineers and shaping the technical direction of the

Qualifications

5+ years of non-internship professional software development experience.
5+ years of programming with at least one software programming language experience.
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

Design and build highly scalable, fault-tolerant data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources including ad servers, exchanges, and SSPs
Architect distributed systems that enable real-time and batch processing of granular event-level data with sub-second latency requirements
Develop robust data quality frameworks to validate, cleanse, and enrich raw log data while maintaining data lineage and audit trails
Create efficient storage solutions optimized for both high-throughput writes and complex analytical queries across massive datasets
Build APIs and data access layers that enable downstream analytics, modeling, and reporting applications to leverage log-level data
Collaborate with data scientists, product managers, and business stakeholders to translate transparency and measurement requirements into technical solutions
Establish operational excellence practices including monitoring, alerting, and automated recovery mechanisms for mission-critical data infrastructure
Mentor junior engineers and contribute to the technical direction of the team through design reviews, code reviews, and architectural discussions
Drive innovation in data processing techniques, exploring emerging technologies and methodologies to improve system performance and capabilities