Staff Data Engineer - Intuit Experimentation Team (IXP)

Company OverviewIntuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.Job OverviewAre 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.ResponsibilitiesYou 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 creationYou will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learningThis is a high-impact role in which you will have a direct influence on how product decisions are madeEffectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problemsLead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunitiesIdentify, compute and validate the appropriate metrics to measure success in a product areaCultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etcPresent your research and insights to all levels of the companyQualifications7+ years of experience in Data Analytics, Business Intelligence, Engineering or related technical fieldBachelor'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 useStrong 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.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. FooterIntuit 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. The expected base pay range for this position is: Mountain View $202,500 - $274,000