Teams at Self Financial

Lead data engineering initiatives supporting analytics, machine learning, and business intelligence teams. Design complex data warehouse and data lake models, manage large-scale SQL and Python ETL/ELT pipelines, maintain data quality and lifecycle standards, and translate strategic priorities into actionable projects. Provide technical leadership, mentorship, architectural guidance, project planning, and cross-functional collaboration with product, infrastructure, and architecture teams.

Deploys, monitors, and maintains production infrastructure and services. Responsibilities include developing infrastructure and network best practices, supporting on-call operations, operating SDLC and CI/CD platforms, improving system performance, providing operational support for distributed applications, and analyzing uptime and production performance. The role requires AWS administration, DevOps or SRE experience, version control, scripting, Terraform, containerized AWS services, Linux, networking, and security-sensitive environment experience.

Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.