Come build the future of smart security with us. Are you excited about shaping the future of devices and services that keep people close to what’s important.
Ring's Decision Sciences Platform Team is looking for an experienced Data Engineer who is passionate about building scalable data and AI platform capabilities to accelerate innovation across the company. This role is critical in scaling our AI & Data Platform, which serves as the foundational layer for Ring’s growing Artificial Intelligence and Machine Learning initiatives. You will play a key role in ensuring the platform meets the demands of AI/ML model training, evaluation, and serving, enabling Ring to deploy AI across the full application lifecycle.
Responsibilities

Design, build, and maintain robust data pipelines and AI integration solutions using AWS-native services and/or internal Amazon tooling.
Build and support scalable ingestion, transformation, and serving layers that power AI/ML workflows, including Generative AI and Agentic AI systems.
Collaborate closely with data scientists, software engineers, and product managers to deploy AI-first capabilities in customer-facing and internal applications.
Improve and maintain existing data workflows to meet evolving compliance, security, and performance standards.
Develop frameworks and tools to enable self-service access to data and AI assets across the organization.
Conduct code reviews, enforce best practices for ETL and data hygiene, and drive engineering excellence across the team.
Document architecture, designs, and operational processes to ensure scalability, reliability, and knowledge sharing.
Stay current with advances in GenAI, Agentic AI, cloud-native AI platforms, and data engineering best practices.

Basic Qualifications

5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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