Software Development Engineer - Big Data, Brand Metrics and Benchmarks

Amazon • New York, NY

23h

About The Position

Are you passionate about Big Data, Distributed systems, and designing new state-of-the-art AI agent-friendly data interfaces? Be part of a team of world-class engineers and industry leading experts operating one of the largest big data platforms for advertising at Amazon scale. Key job responsibilities Join our team and take ownership of significant initiatives that solve some of the toughest technical challenges in big data: - Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data - Architect new data paradigms that enable real-time analytics and machine learning applications - Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact - Mentor junior engineers through code reviews, design discussions, and pair programming - Contribute to technical strategy and architectural decisions for our data platform - Build monitoring, alerting, and data quality frameworks to ensure reliability at scale Our systems are built for stability and reliability, which means our on-call shifts are manageable and focused on continuous improvement rather than firefighting. About the team We're a collaborative team of 12 engineers who are passionate about solving complex data challenges while maintaining a healthy work-life balance. Our engineers regularly work with latest technologies—recent projects include migrating our data lake to Apache Iceberg, implementing real-time streaming pipelines with Spark, and building unified and flexible reporting solutions. We invest heavily in your growth through mentorship programs, technical design reviews, and opportunities to present at internal tech talks. We believe in sustainable engineering practices with reasonable on-call rotations (typically one week per quarter) and flexible work arrangements.

Requirements

• 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
• Experience programming with at least one software programming language
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience leading engineering teams as a mentor or tech lead
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with data infrastructures: Elastic-Search, and Big Data EMR/S3/Glue/Lambda/Apache Iceberg.

Responsibilities

• Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data
• Architect new data paradigms that enable real-time analytics and machine learning applications
• Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact
• Mentor junior engineers through code reviews, design discussions, and pair programming
• Contribute to technical strategy and architectural decisions for our data platform
• Build monitoring, alerting, and data quality frameworks to ensure reliability at scale

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed