Data Engineer II, Ring NA Sales and Marketing, RBKS Sales & Marketing Analytics

Job summary

DESCRIPTION Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with business intelligence engineers, data scientists, 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.

Benefits

Qualifications

• 5+ years of data engineering experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• PREFERRED
• Experience with AWS
• and location.
• Amazon also offers comprehensive

Responsibilities

• In this role, you will:
• Design, build, and maintain reliable, scalable ETL/ELT pipelines that deliver data to RBKS sales and marketing teams, owning data-readiness SLAs and CloudWatch-based monitoring and observability.
• Apply the right architecture for a complex, multi-channel data environment which supports the sell-through pipeline that serves as the single source of truth for Ring & Blink unit sales across 450+ datasets.
• Leverage GenAI to accelerate development and produce data optimized for both analysts and downstream AI Agent pipelines.
• Build direct API integrations for new retailers (Costco, Best Buy, Home Depot) using reusable frameworks that enable rapid onboarding without sacrificing reliability.
• Contribute to large-scale migrations from the Ring Data Warehouse to native AWS and from Tableau to QuickSight and AI-driven reporting.
• Identify and resolve data quality issues and performance bottlenecks in core pipelines without disrupting daily operations.
• Enable diverse analytics use cases — business reporting, demand planning, machine learning, and optimization models — by producing clean, query-ready data.
• Partner with business intelligence engineers, data scientists, and stakeholders across verticals, evangelizing platform standards and best practices.
• A day in the life
• A typical day blends building, collaborating, and maintaining.
• You monitor pipeline health and data-readiness SLAs across our GTM platforms, triaging issues before stakeholders are impacted.

Skills

Degrees

Industry

Company size