Data Engineer II
Analytics
Artificial Intelligence
AWS
Big Data
Business Intelligence
Cloud
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
ETL
Firehose
Integration
Reporting and Analytics
SQL
Job Description
Data Engineer II focused on designing and maintaining scalable ETL/ELT pipelines and analytics-ready datasets to support Ring's RBKS sales and marketing analytics, leveraging GenAI, AWS, and BI tooling across multiple data environments.
Responsibilities
- Architect and sustain robust ETL/ELT pipelines that feed RBKS sales and marketing analytics, maintaining data readiness SLAs and implementing CloudWatch-based monitoring and observability.
- Choose architectures for a complex, multi-channel data landscape that underpins the sell-through pipeline, serving as the single source of truth for Ring and Blink unit sales across 450+ datasets.
- Utilize GenAI to speed development and curate data optimized for analysts and downstream AI agent pipelines.
- Develop direct API connections for new retailers such as Costco, Best Buy, and Home Depot, using reusable frameworks to enable rapid onboarding while preserving reliability.
- Support large-scale migrations from the Ring Data Warehouse to native AWS and migrate reporting from Tableau to QuickSight and AI-driven reporting.
- Detect and remediate data quality issues and performance bottlenecks in core pipelines with minimal disruption to daily operations.
- Enable a range of analytics use cases, including business reporting, demand planning, machine learning, and optimization models, by delivering clean, ready-to-query data.
- Collaborate with BI engineers, data scientists, and stakeholders across verticals to promote platform standards and best practices.
Requirements
- 5+ years of data engineering experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience designing data models, data warehousing, and building ETL pipelines
- Experience with SQL
Technologies
- Redshift
- S3
- AWS Glue
- EMR
- Kinesis
- FireHose
- Lambda
- IAM roles and permissions
- Tableau
- QuickSight
- Python
- Java
- Scala
- NodeJS
- AtlasKB
- Bedrock agents
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance
- Basic Life & AD&D insurance and option for Supplemental life plans
- 401(k) matching
- Paid time off
- Parental leave
- Flexible Spending Accounts
- Employee Assistance Program (EAP)
- Mental Health Support
- Medical Advice Line
- Adoption and Surrogacy Reimbursement coverage
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