Staff Data Engineer: Scale Big Data & AI Platform

Intuit; Livonia (MI); On-site; USD 203,000 - 274,000; Full time

Benefits offered by this job

Bonus program

Equity rewards

Benefits package

Job summary

Intuit is seeking an experienced data platform engineer to architect scalable big-data platforms and enable AI-driven analytics. You will partner with Product Management, Engineering and Central Data Lake to align platforms with evolving requirements and future functionality.

The role emphasizes data governance, scalable architecture, and collaboration to deliver performant data solutions across the company. This position offers a strong pay-for-performance compensation model and equity rewards.

Qualifications

• 8+ years in product analytics, web analytics or related data analytics fields.
• Strong SQL and big data tech experience with modern BI tools.
• Solid programming skills in Python or Java/Scala.

Responsibilities

• Architect and build scalable big-data platforms for high-velocity data use cases.
• Collaborate with Product Management, Engineering, and Central Data Lake teams.
• Develop architectures for data normalization, governance, lineage, and discoverability.
• Enable AI/Generative AI analytics by curating datasets for advanced purposes.
• Review code, promote best practices, and establish CI/CD, testing, and monitoring.
• Lead and mentor junior team members to grow technical proficiency.

Skills

SQL

Big Data Stack

Python/Java/Scala

Data Pipelines

AI/GenAI

Data Storytelling

Business Acumen

Communication

Education

Bachelor's degree in Engineering/DS/CS/Math/Economics

Master's degree preferred

Tools

Tableau

Qlik

Dash

Job description

Intuit is seeking an experienced data platform engineer to architect scalable big-data platforms and enable AI-driven analytics. You will partner with Product Management, Engineering and Central Data Lake to align platforms with evolving requirements and future functionality.

The role emphasizes data governance, scalable architecture, and collaboration to deliver performant data solutions across the company. This position offers a strong pay-for-performance compensation model and equity rewards.