Staff Data Engineer - Experimentation Platform

Intuit is seeking a Staff Data Engineer to support the Experimentation Platform team, also known as IXP. The role is centered on enabling experimentation-driven, data-driven decisions by partnering across Engineering, ML, Search, Data Science, and Data Engineering to design experiments, compute metrics, and apply analytics and causal approaches at scale.

Within IXP, the team builds an enterprise capability that helps Intuit move from hypothesis to action with speed and reliability. Teams across TurboTax, Mint, and QuickBooks use IXP, giving individuals a way to test ideas with measurable results.

What you will do

• Work closely with an interdisciplinary group of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners to develop capabilities that improve product decision-making and creation
• Drive innovation by identifying and applying analytics, causal inference, experimentation, and machine learning techniques
• Apply analytics and statistical methods to solve business problems, including hypothesis testing and causal inference foundations
• Lead the design, analysis, and interpretation of experiments
• Perform proactive data exploration on engagement behaviors to uncover future opportunities
• Identify, compute, and validate metrics used to measure success for a product area
• Build strong partnerships with stakeholders across product, engineering, operations, design, and consumer research
• Share research and insights with audiences across all levels of the company

Minimum qualifications

• BS or MS in Statistics, Mathematics, Engineering, or a related quantitative field
• 8+ years of coding experience in Java, Javascript, Go, or equivalent
• 8+ years designing and operating high-throughput, low-latency distributed systems processing data at petabyte scale
• Prior experience focused on experiment design and/or A/B testing at scale
• Ability to apply the statistical underpinnings of experimentation, including hypothesis testing and p-values, and causal inference
• Familiarity with statistical analysis and programming languages such as R or Python
• Proven experience as a Data Engineer, including 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 such as Tableau or Power BI, or similar platforms
• Experience building reusable frameworks, SDKs, or platform libraries used by other engineering teams, with a focus on developer experience
• Strong programming skills in Python, Java, SQL, and Scala
• Experience with cloud platforms including AWS, Azure, or Google Cloud
• Familiarity with machine learning algorithms and applying them in data analysis
• Ability to work independently while partnering cross-functionally to manage end-to-end product development
• Ability to communicate technical and statistical concepts clearly and concisely across varied audiences

Technology

• Java, Javascript, Go, R, Python, SQL, Hadoop, Spark, Kafka, Tableau, Power BI, Scala, AWS, Azure, Google Cloud

Compensation

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 based on applicable plans and programs, with pay determined by job-related knowledge, skills, experience, and work location.

The expected base pay range for this position is:

• San Diego, CA: USD 188,500 - 255,000 per year
• Mountain View: USD 202,500 - 274,000 per year

Intuit also conducts regular comparisons across categories of ethnicity and gender to drive ongoing fair pay.

Location: San Diego, CA 92129 (onsite)

Salary: USD 188,500 - 255,000 per year