Data Engineer II, Ring Agent Platforms

Amazon • Hawthorne, CA

2d

About The Position

Ring is seeking a Data Engineer with strong analytical, communication, and
project management skills to join our team. This role will work closely with
software development engineers, scientist and business stakeholders across
various verticals. You will design, evangelize, and implement state-of-the-art
solutions that help us provide a great customer experience. You will work with a
complicated data environment, employ the right architecture to handle data, and
support various analytics use cases including business reporting, production
data pipeline, machine learning, optimization models, statistical models, and
simulations. This role will be expected to utilize GenAI to build reliable,
scalable data pipelines, which produce data optimized for our customers, who
will also be utilizing AI Agent pipelines.

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Nice To Haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience working in or building GenAI enhanced data pipelines

Responsibilities

• Building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders.
• Work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene.
• Learn and adapt quickly new technologies like GenAI tooling and business needs, building and improving frameworks and processes, incorporating new patterns and technologies where appropriate.
• Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.
• Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools.
• Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.
• Building/Improving/Maintaining frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data.
• Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.

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