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# Staff Data Engineer, Virtual Expert Platform

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Warehousing, Fault Tolerance, Apache Hadoop, Apache Hive, JSON, Python (Programming Language), Scrum Methodology, Standard Sql, Software Engineering, Scripting, Apache Spark, Electronic Medical Records, Information Technology, Restful APIs, Data Pipelines
- **Published:** June 21, 2026
- **Apply:** https://dejobs.org/x/x/24C3F689A2894A28B49A57AA282F2F3F/job/

## About the Role

* 10+ years software development experience with work experience in developing DB schemas, creating ETLs, and familiarity with MPP/Hadoop systems.

 * Advanced experience with scripting language - Python, Shell etc.

 * Experience with Amazon web services: EC2, S3, and EMR (Elastic Map

 * Reduce), Redshift or equivalent cloud computing approaches

 * Hands on experience with Hadoop stack of technologies - mainly Hive, Hive on Spark

 * Big Data: Designing, Building and maintaining highly scalable, robust & fault-tolerant complex data processing pipelines from the ground up

 * Strong experience in AI and AI tools.

 * Experience working with large data volumes

 * Experience creating and consuming JSON/REST web services and

 * communicating with systems

 * Strong knowledge of software development methodologies and practices

 * Experience working in Agile development teams; working knowledge of Agile (Scrum) development methodologies

 * Operational mindset with ability to do Problem, SLA and Incident Management

 * Strong expertise in writing analytical SQLs, Data Marts, Data Warehousing and analytic architecture

 * BS/MS in Computer Science or equivalent work experience

## Description

* Drive projects in the VEP Data Engineering by working cross-functionally with Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers etc.

 * Customer empathy and delight will be the main drivers for success

 * 70-85% hands-on development in all phases of the software life cycle.

 * Designing end to end data pipeline given business and ops requirements (ingestion, processing and storage). Conduct design and code reviews.

 * Own the tech vision and strategy for multiple domains or capabilities

 * Identify dependencies, estimate work, sequence tasks as inputs to building project plans

 * Build GenAI based solutions to solve for customers/Experts benefit or internal productivity gains.

 * Collaborates effectively with peer engineers and architects to solve complex engineering problems

 * Influences and communicates effectively with non-technical audiences including senior product managers and business stakeholders

 * Focus on operational excellence through root cause analysis and continuous improvement.

 * Ability to proactively follow issues through to resolution.

 * Contribute to innovations that fuel the growth of Intuit as a whole


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