Staff Data Engineer
Core
Organizing plans to drive outcomes and providing technical leadership to deliver timely, high-quality, purpose-built data for internal Analytics, Machine Learning, and Business Intelligence organizations.
Role type
Staff Data Engineer (Technical Leadership & Architecture)
Builds
Data pipelines, data models, and schemas for business intelligence and data analysis
Domain
FinTech / Credit / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Database development and integration, Complex Data Warehouse and Data Lake modeling (Kimball), Data ETL/ELT management, Columnar data structures (Amazon RedShift), AWS data warehousing tools, Software engineering tools (Git, JIRA, Confluence), Apache Airflow, Python
Preferred skills
Cross-functional collaboration, Architecture design, Project analysis and planning, Physical and Logical Data Model creation
Technologies
Amazon RedShift, AWS, SQL, Python, Apache Airflow, Git, JIRA, Confluence
Responsibilities
Lead the data pipeline, modeling, and population of data schemas; Collaborate with Product Management to translate strategic vision into actionable projects; Design architecture, perform project analysis, and create work breakdown structures; Maintain data lifecycle and quality standards
Seniority
Staff, hands-on IC with team leadership
