Data Engineer II, Ring NA Sales and Marketing
Core
Design, build, and maintain scalable ETL/ELT pipelines and data architectures to support sales, marketing, and AI agent use cases for Ring and Blink.
Role type
Senior Data Engineer
Builds
Production data pipelines, data warehouses, and API integrations for sales and marketing teams
Domain
Retail technology, cloud data infrastructure, Generative AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL/ELT pipeline development, SQL, Cloud infrastructure management, API integration, GenAI pipeline development
Preferred skills
AWS Redshift, Python, non-relational databases, CI/CD implementation
Technologies
AWS (Redshift, S3, Glue, EMR, Kinesis, Lambda), Tableau, QuickSight, GenAI frameworks
Responsibilities
Design and maintain reliable data pipelines, build API integrations for retailers, migrate data warehouses, resolve data quality issues, enable analytics use cases, partner with data scientists and stakeholders
Seniority
Senior, hands-on IC