mid Data Engineer ic 3+ yrs · Posted Mar 9, 2026
$158,100 – $213,800
USD per year

About this role

Amazon is hiring a mid-level Data Engineer based in New York City, NY. The posting calls out experience with Scala, AWS, Spark, Distributed Systems and roughly 3+ years of relevant work. Compensation is listed at $158,100–$213,800 per year.

Role
Data Engineer
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
New York City, NY
Experience
3+ years
Department
Software Development
Posted
Mar 9, 2026
AI Summary
Design and build scalable, fault-tolerant data pipelines processing petabytes of advertising data at Amazon scale. Requires 3+ years software development, 2+ years system design/architecture, and 1+ years big data technologies like Spark, Hadoop, or AWS. Mentor junior engineers and contribute to data platform strategy.

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Job description

from Amazon careers

Are you passionate about Big Data, Distributed systems, and large scale datasets can be integrated with 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 engineers who are passionate about solving complex data challenges while maintaining a healthy work-life…

This is an excerpt. Read the full job description on Amazon careers →
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