Senior Data Engineer

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