Staff Data Engineer - Experimentation Platform

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, Mint, 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. We have : An opportunity for you to influence the experimentation program at Intuit. An opportunity for you to enable innovation across Intuit with your contributions to the experimentation platform An opportunity to work with the latest technology and frameworks. An opportunity to work with a collaborative, customer-obsessed, and diverse engineering team. Responsibilities 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 Qualifications BS or MS in Statistics, Mathematics,Engineering or related quantitative field 8+ years of coding experience in Java, Javascript, Go or equivalent 8+ years of experience designing and operating high-throughput, low-latency distributed systems that process data at petabyte scale Prior experience focused on experiment design and/or A/B testing at scale Able to demonstrate application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc Familiar with statistical analysis and programming languages (e.g. R / Python) Proven experience as a Data Engineer, with a strong background in data warehouse design and data modeling. Expertise in SQL and experience with big data technologies such as Hadoop, Spark, Kafka, or similar. Experience with data visualization tools and platforms such as Tableau, Power BI, or similar. Experience building reusable frameworks, SDKs, or platform libraries consumed by other engineering teams — you think about developer experience as a product Strong programming skills in Python, Java, SQL and Scala. Experience in cloud platforms like AWS, Azure, or Google Cloud Familiarity with machine learning algorithms and their application in data analysis. Ability to work independently and partner with cross functional teams to manage end to end product development Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels 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 locat