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Job Title: Senior Data Engineer (High Priority) Location: Preferably Mountain View, CA; Hybrid Start Date: Immediate Duration: 6+ months Openings: 4 Senior Engineers About the Role We are seeking Senior Data Engineers to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering - from pipeline development to data modeling - and requires hands-on expertise with modern data stack tools and strong collaboration across teams. This is a fast-paced, execution-focused environment with immediate interviewing and onboarding. Key Responsibilities Design and implement scalable data models and schemas Develop and maintain reliable, production-grade data pipelines Work closely with product and analytics teams to support data-driven features Ensure performance, data quality, and operational reliability across the stack Build and support ETL workflows using modern tools and frameworks Required Qualifications 5+ years of experience in Data Engineering Advanced SQL skills with experience in data modeling and schema design Strong coding ability with Python for scripting and transformations Experience with ETL tools or frameworks (e.g., SnapLogic, Airflow, DBT, etc.) Excellent problem-solving skills and the ability to work independently Comfortable working in fast-moving, collaborative environments Strong communication and documentation skills Nice to Have Experience with Snowflake is a strong plus Experience with SnapLogic or similar modern ETL platforms Familiarity with CI/CD and data ops practices
