Staff Data Engineer

Overview

Are you passionate about empowering people to test the impact of their ideas? Are you motivated by data-driven decisions? If 'yes', then the Intuit Experimentation Team (IXP) could be the right team for you. The experimentation team builds and maintains the Intuit experimentation Platform, an enterprise-wide capability for moving rapidly and reliably from hypothesis to action. At Intuit, all teams (TurboTax, Credit Karma, and QuickBooks to name a few) use IXP. Our aim is to give every individual at Intuit a voice by providing them a platform where they can test their ideas and have data from their experiments backing their ideas.

Responsibilities

• Partner closely with a world-class org of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners who work together to create a variety of capabilities for Intuit to be more successful in its decision-making and product creation
• Drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning
• Have a direct influence on how product decisions are made
• Identify, compute and validate the appropriate metrics to measure success in a product area
• Proactively perform data exploration on engagement behaviors to discover future opportunities
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc
• Present your research and insights to all levels of the company

Qualifications

• 7+ years of experience in Data Analytics, Business Intelligence, Engineering or related technical field
• Bachelor's in Statistics, Mathematics, Computer Science, or related field
• Experience programming in Java or Python
• Strong proficiency in visualization tools with hands-on experience building complex dashboards in Tableau, Qlik, or PowerBI
• Proven track records of developing and managing complex analytics data mart and data pipelines is a must-have
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in applying advanced analytics techniques such as python, ML models, LLM, etc., is a plus
• Ability to create analytical framework for solving complex business problems with proven track record
• Ability to manage multiple projects simultaneously to meet objectives
• Outstanding communications skills with both technical and non-technical
• Be able to communicate effectively with senior executives

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits).

The expected base pay range for this position is: $191,500 - $259,000 The Expected Base Pay Range For This Position Is Mountain View $191,500 - $259,000 San Diego, CA $188,500- $255,000