Data Engineer

Summary

We are seeking a highly skilled Data Engineer / Architect to join our team and focus on Data Integration. The ideal candidate will have extensive experience in designing, developing, and implementing SnapLogic solutions, along with a deep understanding of Snowflake, SQL, and general API integration.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent relevant experience)
• Proven experience as a SnapLogic Architect/Developer, including building complex pipelines from scratch that include bidirectional data migration
• Strong understanding of Snowflake data warehousing platform and experience with Snowflake integration
• Proficiency in SQL and experience working with relational databases
• Familiarity with JavaScript and API integrations for data source connectivity and manipulation
• Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
• Passionate dedication to data accuracy and integrity

Responsibilities

• Collaborate with stakeholders to gather requirements and understand business objectives related to data integration and analytics
• Design, develop, and implement SnapLogic pipelines to integrate various data sources with Snowflake
• Architect scalable and efficient data integration solutions using SnapLogic platform
• Provide technical leadership and guidance to the development team on best practices for SnapLogic development
• Optimize and troubleshoot existing SnapLogic pipelines to ensure optimal performance and reliability
• Develop and maintain documentation for SnapLogic configurations, workflows, and integration processes
• Stay up-to-date with the latest trends and advancements in SnapLogic and Snowflake technologies

Preferred Qualifications

• Understanding of data privacy and security principles, particularly in data warehousing and business intelligence contexts, is a plus
• Experience, familiarity, or interest in the real estate industry is a plus

Benefits

Compensation range is 150Kbase + equity, open to negotiation