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
