We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania. In this role, you will design, develop, and optimize data pipelines and platforms to support business operations and decision-making. If you have a strong technical background, a passion for data-driven solutions, and experience in the financial services industry, we encourage you to apply.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines and workflows using Python and modern data tools.<br>• Optimize and manage Snowflake environments, including data modeling, security practices, and warehouse performance.<br>• Automate financial operations workflows such as escrow management, investor reporting, and receivables processing.<br>• Collaborate with cross-functional teams to gather requirements and deliver data solutions that align with business objectives.<br>• Implement data governance and privacy practices to ensure compliance with financial regulations.<br>• Build and maintain production-grade data integrations across internal and third-party systems.<br>• Utilize Git version control and CI/CD pipelines to deploy and manage data workflows.<br>• Provide technical expertise and serve as a key resource for Snowflake, data pipelines, and automation processes.<br>• Troubleshoot and resolve data-related issues, ensuring system reliability and efficiency.<br>• Communicate effectively with stakeholders, translating technical concepts into actionable insights.

• Minimum of 4 years of experience in data engineering or a related field, ideally in financial services or technology.<br>• Advanced knowledge of Snowflake, including warehouse optimization and security.<br>• Proficiency in Python for developing and automating data pipelines.<br>• Familiarity with Encompass and lending-related data structures.<br>• Strong understanding of data governance and regulatory requirements in financial services.<br>• Experience with automating workflows for financial operations.<br>• Expertise in Git version control and CI/CD practices for deploying data solutions.<br>• Excellent communication skills to collaborate effectively with stakeholders and teams.

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