Data Engineer

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 (Turbo Tax, Credit Karma, and Quick Books 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.

• You will 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.
• You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning.
• This is a high-impact role in which you will have a direct influence on how product decisions are made.
• Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems.
• Lead the design, analysis, and interpretation of experiments. Proactively perform data exploration on engagement behaviors to discover future opportunities.
• Identify, compute and validate the appropriate metrics to measure success in a product area.
• 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.

• 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.
• Proficient with unstructured data and turning raw data into a usable, high-quality dataset ready for effective use.
• Strong proficiency in visualization tools with hands-on experience building complex dashboards in Tableau, Qlik, or PowerBI.
• Proven track record of developing and managing complex analytics data mart and data pipelines is a must-have.
• Demonstrated experience with big data tools and frameworks such as Apache Spark, Hadoop or Databricks.
• 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). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.

To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is: $202,500 - $274,000 depending on location. Mountain View: $202,500 - $274,000. San Diego, CA: $188,500- $255,000.