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Tier-1 brand, mid-level generalist title, metro location, and common data skillset increase applicant competition.
Core data engineering skills are broadly transferable, though banking compliance familiarity moderately increases sensitivity.
Explicit 4+ years data engineering requirement and domain-specific skills create moderate shortlisting rigor.
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Lead moderately complex initiatives in Technology focused on large scale data processing frameworks aligned with enterprise strategies.
Build and maintain optimized, highly available data pipelines enabling deeper data analysis and reporting.
Oversee data integration work including data modeling, maintaining data warehouse and analytics environments, scripting for integration and analysis, and resolving moderately complex issues to ensure delivery of data engineering objectives.
4+ years of Data Engineering experience or equivalent (via work experience, training, military experience, education).
Experience with data integration, data modeling, data warehouses, and scripting for data analysis.
Understanding of data information policies, procedures, and compliance requirements.
Work Experience Required: Minimum 4 years in Data Engineering or equivalent.
Someone experienced in leading mid-level complexity data engineering projects within large-scale enterprise environments.
Demonstrates capability to resolve technical challenges through in-depth evaluation of multiple variable factors.
Comfortable collaborating cross-functionally to meet strategic data engineering goals and compliance requirements.