Hybrid-Senior Data Engineer-Intuit

CA
Contracted
Experienced
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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