> Markdown version of [/jobs/ext/3723914-staff-software-data-engineer-quickbooks-capital-and-lending-team](https://www.wearedevelopers.com/jobs/ext/3723914-staff-software-data-engineer-quickbooks-capital-and-lending-team). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Data Engineer - Quickbooks Capital And Lending Team - **Company:** Intuit Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $202,500.0 - $274,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Unit Testing, Big Data, Information Engineering, Elasticsearch, Python (Programming Language), Scrum Methodology, QuickBooks (Software), Software Engineering, SQL Databases, Apache Spark, Pyspark, Information Technology, Extreme Programming, Apache Kafka, Codebase, Databricks - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=39f1fb1366233d2e ## About the Role Come join the QuickBooks Capital And Lending Team as a StaffSoftware Engineer in Data You will join an innovative and passionate team of engineers using cutting edge technologies like Python, PySpark, Spark, SQL, Data Bricks, Big Data fundamentals, AWS, Elastic Search, Kafka, to build enterprise scale data engineering pipelines and features for our QuickBooks Capital customers. We are looking for an engineer with a background in data engineering and experience working in a data engineering team for 7+ years., * 7+ years' experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka. * 7+ year's experience working on BigData technologies. * BS/MS in computer science or equivalent work experience. * Strong experience with Python and Spark and ability to understand a large existing codebase. * Experience with the entire Software Development Life Cycle (SDLC). * Good experience building and supporting large scale enterprise data engineering pipelines and featurization. * Demonstrated passion for Engineering and Operational Excellence. You will support what your team builds in production via quarterly on-call rotations to monitor production systems and resolve production errors & incidents. * Demonstrated communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. * Strong understanding of the Software design/architecture process. * Experience with unit testing & Test-Driven Development (TDD) ## Description * Understand functional requirements, develop technical designs and specifications, code and test. * You will be required to size work of medium to large complexity and manage timelines and deliveries. * Designing/developing software using data engineering technologies. * You will be spending 90% hands-on designing, coding, testing and supporting production systems (on-call). * Resolve defects/bugs during testing, pre-production, production, and post-release patches. * Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results. * Experience with Agile Development, SCRUM, or Extreme Programming methodologies.