$188,500 – $274,000
Listed on Intuit’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A technical leadership role building data engineering platforms and pipelines at scale using cloud and big data technologies. This suits experienced data engineers who want to grow into staff-level responsibility while remaining hands-on, mentoring peers and shaping technology direction without people management.
Our summary, not Intuit’s wording. The full posting is on their site.
Skills this role names
- Amazon Athena
- Amazon EC2
- Amazon Elastic MapReduce (EMR)
- Amazon S3
- Amazon Web Services (AWS)
- Apache Flink
- Databricks
- Docker
- DynamoDB
- Generative AI
- Google Cloud
- Java
- JSON
- Jupyter Notebook
- Kubernetes
- Linux
- Machine Learning
- Microsoft Azure
- Python
- Scala
- SPARK
- Spring Boot
- SQL
- XML
- YAML
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What they ask for
Required
- BS or MS in Computer Science, Data Engineering, or related field
- 8+ years software engineering experience with strong data engineering background
- Expertise in Java (Spring, Spring Boot) or Scala for Spark or other JVM-based languages
- 5+ years professional experience with SQL, XML, JSON, YAML, Python, and Linux
- Experience building and using AI/ML and generative AI applications
- Cloud platform experience (AWS, Azure, or GCP)
- Professional data warehousing and analytic architecture experience
- Expert knowledge of Agile Development, SCRUM, or Extreme Programming methodologies
Nice to have
- Experience with GenAI tools like Cursor or Windsurf
- Deep understanding of current technology trends
- Experience working with large data volumes and data visualization