Data Engineer II, Ring/Blink Customer Service Engineering and Insights
Core
Own and operate ETL pipelines and AWS data infrastructure to enable analytics, AI initiatives, and downstream data consumption for customer service operations.
Role type
Senior IC data engineer (AWS/ETL)
Builds
Production-ready ETL pipelines, data access controls, and orchestration layers on AWS
Domain
E-commerce / Customer Service / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT development, AWS data services, Airflow orchestration, Python, SQL, IAM/Lake Formation, data governance
Preferred skills
Non-relational databases, AWS Glue/EMR/Kinesis, technical debt reduction
Technologies
AWS (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM, Lake Formation, Athena), Airflow, Python, EC2, Redshift, QuickSight, Tableau
Responsibilities
Operate and debug Airflow pipelines and cross-account IAM issues; develop and maintain Python-based ETL jobs; lead technical debt reduction in data pipelines; ensure data compliance with legal and security standards; partner with BI Engineers on data output validation; create operational runbooks and documentation.
Seniority
Mid-Senior, hands-on IC