Intuit is looking to solve complex data problems and align data infrastructure with strategic business goals for the Virtual Expert Platform (VEP) which powers TurboTax Live by providing underlying services and capabilities that enable 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.
- 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 using expertise in cloud platforms and big data technologies to solve complex data problems
- Align data infrastructure with strategic business goals
- 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
- Innovate and enable applications that are highly interactive, fast and can scale to billions of interactions
Other
- 15+ years of software engineering experience, with a strong background in data engineering.
- Understanding of metadata management, data lineage, and data governance principles.
- 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.
