Data Engineer Intuit
Dear Job seekers if you are on the job market and willing to apply kindly share your resume to: [email protected]
Location – Mountain View.
Duration – 6 Months + Possible extension 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
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