Intuit is looking to solve complex data problems and align data infrastructure with strategic business goals for their Virtual Expert Platform (VEP), which powers TurboTax Live by providing AI-driven tax expertise. The goal is to enable applications that are highly interactive, fast, and scalable to billions of interactions.
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.
- Expert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies.
- 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. Expertise with AWS is specifically noted.
Responsibilities
- Define and drive the data strategy for the VEP team
- Provide technical leadership and use expertise in cloud platforms and big data technologies to solve complex data problems
- Participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity
- Apply a full understanding of software engineering methodologies and industry best practices for data products
- Utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions
- 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
Other
- 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.
- Uses data to influence product and technology decisions within their scope.
- Comfortable parachuting into new areas, quickly understanding technical landscapes, and driving immediate impact.
