Snowflake Engineer

Overview

This role is for a Snowflake Engineer, 4-6 months remote, paying competitive rates. Requires 5+ years in data engineering, expertise in Snowflake, Python, SQL, and experience with mortgage data. Familiarity with cloud platforms and data governance is preferred.

Location:

Wayne, PA (Remote)

Duration: 4-6 months with likely extension

Start: ASAP

• Design, implement, and maintain scalable data pipelines and ETL processes using Snowflake.
• Develop and optimize SQL queries and stored procedures for efficient data processing.
• Build and maintain Python-based data workflows for automation and integration.
• Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions.
• Ensure data integrity, security, and compliance with industry standards.
• Monitor and troubleshoot data systems to ensure high availability and performance.
• Document data models, processes, and best practices.

• 5+ years of experience in data engineering or related field.
• Expert-level proficiency in Snowflake, including performance tuning and advanced features.
• Strong knowledge of Python for data processing and automation.
• Advanced SQL skills for complex queries and optimization.
• Experience with data modeling, ETL frameworks, and data warehousing concepts.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Excellent problem-solving and communication skills.

• Experience working with mortgage and loan datasets, including understanding of lending processes and compliance requirements.
• Knowledge of data governance, data quality frameworks, and regulatory standards in financial services.
• Exposure to BI tools (e.g., Tableau, Power BI) and data orchestration tools (e.g., Airflow).