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Intuit is looking to solve complex data problems and align data infrastructure with strategic business goals for the Virtual Expert Platform (VEP) team, which powers TurboTax Live by providing AI-driven tax expertise for customers.

Requirements

• Expertise in developing Data pipelines, big data frameworks like Apache Spark, Hadoop, and streaming technologies such as Kafka
• 5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux
• Knowledge of AI / ML, Generative AI, and experience with growth-focused AI/ML applications (personalization, recommendation engines, predictive modeling)
• Use of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components
• Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker
• Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches
• Deep knowledge of data lake and data warehouse solutions like Snowflake, Databricks, or similar

Responsibilities

• Drive end-to-end data architecture in all phases of the software life cycle across Intuit’s product offerings
• Lead the technology evolution of high-volume data products, including data, analytics, productivity, and tools
• Collaborate with business stakeholders to understand their needs and translate them into effective, scalable solutions
• Understand customer behavior, funnel metrics, and business levers, ensuring every technical investment drives measurable impact
• Demonstrate a deep understanding of current technology trends and best practices
• Actively stay abreast of industry best practices, share learnings, experiment, and apply cutting-edge technologies while proactively identifying opportunities to enhance software applications with AI technology
• Introduce new approaches and techniques rooted in the latest industry trends and best practices that alter projects' trajectories

Other

• BS or MS in Computer Science, Data Engineering, or a related field
• 15+ years of software engineering experience, with a strong background in data engineering
• Excellent interpersonal and communication skills and ability to influence at all levels
• Strategic mindset: influences the team and platform’s short and long-term strategy for maximum business impact
• Comfortable parachuting into new areas, quickly understanding technical landscapes, and driving immediate impact