Staff Data Engineer

Company Overview: A leading financial services company is seeking a seasoned Staff Data Engineer to join their team. The role involves architecting scalable data structures to transform raw data into analytics-ready assets. Job Responsibilities: • Design and maintain conceptual, logical, and physical data models for high-performance analytics and transactional workloads. • Normalize and optimize complex, raw, and semi-structured data into relational structures. • Document entity relationships, definitions, and transformation logic for metadata and lineage. • Partner with data engineers, analysts, and business stakeholders to translate requirements into scalable models. • Implement models in Snowflake and other cloud platforms, ensuring compliance with performance, security, and governance frameworks. • Leverage dbt, Python, or orchestration tools for model deployment and version control. • Conduct data profiling and quality checks to validate accuracy and integrity. • Lead POCs for modern modeling approaches and refine modeling standards and governance policies. Qualifications: • 5+ years of experience in data modeling or database design. • Advanced SQL skills and understanding of ETL/ELT processes. • Hands-on experience with modern cloud data platforms, preferably Snowflake. • Bachelor's or master's degree in computer science, engineering, or a related field. • Familiarity with data governance and cataloging tools like Collibra or Alation. • Experience with dbt or scripting (Python) for automated transformations and CI/CD workflows. Compensation: Pay Rate: $90 – $103/hr, DOE The post Staff Data Engineer appeared first on Landing Point.