Hybrid - Senior Data Engineer – Intuit

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Senior Data Engineer – Intuit
Location: Mountain View, CA (Hybrid)
Client: Intuit

Overview:
Intuit is seeking a highly skilled Senior Data Engineer with deep expertise in data modeling to join our team in a hybrid role based in Mountain View, CA. This role offers an exciting opportunity to work on complex data challenges, design scalable data models, and contribute to high-impact projects across the organization.

Key Responsibilities:

Design, optimize, and implement robust, scalable data models tailored to business requirements.
Collaborate cross-functionally with engineering, analytics, and product teams to deliver clean and reliable data pipelines.
Solve real-world data problems through structured and innovative approaches, documenting the problem context, methodology, and outcomes.
Develop and maintain efficient, large-scale ETL/ELT processes using PySpark and SQL.
Perform deep-dive analysis and implement performance optimizations for both modeling and query execution.

Required Skills & Qualifications:

Data Modeling Expertise:
Proven experience in designing data models that support business analytics, reporting, and scalable data warehousing solutions.
Problem-Solving Ability:
Ability to clearly articulate and solve complex data problems, including an understanding of problem origin, solution strategy, and business impact.
Analytical Thinking:
Strong analytical mindset with the ability to apply both theoretical and practical approaches to address diverse data engineering challenges.

Level 2 Expectations:

Deep Technical Knowledge in Data Modeling:
Demonstrated ability to handle in-depth discussions and problem-solving on data modeling concepts. Understand the nuances between technologies such as columnar vs. row-based databases and their implications on model design.
Advanced Coding Proficiency:
- Python/PySpark: Capable of building robust, distributed data processing solutions using PySpark (preferred over Pandas due to scalability).
- SQL: Expertise in writing complex, optimized SQL queries. Ability to handle subqueries, window functions, and advanced transformations not commonly understood by average candidates.

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Hybrid - Senior Data Engineer – Intuit

Key Responsibilities:

Required Skills & Qualifications:

Level 2 Expectations:

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