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Staff Data Engineer - Quickbooks Capital and Lending

Mountain View, California

Pay
$202,500–274,000/year · BaseAnnual period assumed — pay source
Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $274,000. The expected base pay range for this position is: Mountain View $202,500 - $274,000
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $274,000. The expected base pay range for this position is: Mountain View $202,500 - $274,000
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Work setup
Unconfirmed
Employment
Unconfirmed
Apply at INTU

What you’ll work on

Full posting
  • Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results.

From the employer’s posting
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. Agile Development, SCRUM, or Extreme Programming methodologies.

What you’ll bring

All qualifications

Core experience

  • 7+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka
  • Proven ability to understand a large existing codebase.
  • 7+ year’s experience working on BigData technologies.
  • Experience with the entire Software Development Life Cycle (SDLC).
  • Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization
Qualification wording
7+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka
Proven ability to understand a large existing codebase.
7+ year’s experience working on BigData technologies.
Experience with the entire Software Development Life Cycle (SDLC).
Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization

Tools in this posting

  • Python
  • SQL
  • AWS
  • Databricks
  • Kafka
  • Spark
  • PySpark
Source — Tool mentions in context
Come join the QuickBooks Capital and Lending Platform as a Staff Software 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. Responsibilities
- BS/MS in computer science or equivalent work experience - 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.
- 7+ year’s experience working on BigData technologies. - Extensive experience with Python and Spark - Proven ability to understand a large existing codebase.

Job description

View original posting ↗

Come join the QuickBooks Capital and Lending Platform as a Staff Software 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. 


Responsibilities

  • 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.
  • Agile Development, SCRUM, or Extreme Programming methodologies.
  • Data modeling, data warehousing, and building ETL pipelines.
  • Production support via quarterly on-call rotations to monitor production systems and resolve production errors & incidents

Qualifications

  • BS/MS in computer science or equivalent work experience
  • 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.
  • Extensive experience with Python and Spark
  • Proven ability to understand a large existing codebase.
  •  Experience with the entire Software Development Life Cycle (SDLC).
  • Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $274,000.



The expected base pay range for this position is:
Mountain View $202,500 - $274,000

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.intuit.com. The employer’s form will show what is required.

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Source & posting history

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Source notes

Source excerpts

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Pay
Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $274,000. The expected base pay range for this position is: Mountain View $202,500 - $274,000
More source context
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $202,500 - $274,000. The expected base pay range for this position is: Mountain View $202,500 - $274,000
Location & working pattern

Mountain View, California

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jul 29, 2026
Recorded sightings
243
Last seen by us
Sep 29, 2026

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