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# Staff Software Data Engineer

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $202,500 - $274,000
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Unit Testing, Big Data, Information Engineering, Elasticsearch, Python (Programming Language), Scrum Methodology, Software Architecture, Standard Sql, Software Engineering, SQL Databases, Test-Driven Development (TDD), Apache Spark, Pyspark, Information Technology, Extreme Programming, Apache Kafka, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_57629b215f032da637b82d429d5d706b

## About the Role

* 7+ years developing data engineering pipelines using Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, and Kafka.
 * 7+ years working on Big Data technologies.
 * BS/MS in computer science or equivalent work experience.
 * Strong experience with Python and Spark, including the ability to understand and work within a large existing codebase.
 * Experience across the entire Software Development Life Cycle (SDLC).
 * Demonstrated ability to build and support large-scale enterprise data engineering pipelines and data feature development.
 * Demonstrated operational excellence and engineering focus, including production support via quarterly on-call rotations to monitor systems and resolve production errors and incidents.
 * Demonstrated communication skills, including the ability to explain complex technical topics to both technical and non-technical audiences.
 * Strong understanding of the software design and architecture process.
 * Experience with unit testing and Test-Driven Development (TDD).

Key Technologies

 * Python
 * PySpark
 * Spark
 * SQL
 * DataBricks
 * AWS
 * Elastic Search
 * Kafka

## Description

* Review functional requirements, create technical designs and specifications, and implement with coding and testing.
 * Size work for medium to large complexity and manage timelines and delivery.
 * Design and develop software using data engineering technologies.
 * Spend approximately 90% of time on designing, coding, testing, and supporting production systems, including on-call responsibilities.
 * Identify and resolve defects or bugs during testing, pre-production, production, and post-release patching.
 * Collaborate cross-functionally with product management, other engineering teams, and business units to drive outcomes.
 * Apply Agile Development, SCRUM, or Extreme Programming practices as part of delivery.