• Location: Fully Remote
• Type: Contract
• Job #24895

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