Staff Data Engineer - Quickbooks Capital and Lending
Mountain View, California
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- 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
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, code and test data engineering software and pipelines
Size medium to large work and manage timelines and deliveries
Resolve defects and bugs from testing through post-release patches
Support production systems through quarterly on-call rotations
Build data modeling, data warehousing and ETL pipelines
From the employer’s posting
Designing/developing software using data engineering technologies.
You will be required to size work of medium to large complexity and manage timelines and deliveries.
Resolve defects/bugs during testing, pre-production, production, and post-release patches.
Production support via quarterly on-call rotations to monitor production systems and resolve production errors & incidents
Data modeling, data warehousing, and building ETL pipelines.
What you’ll bring
All qualificationsCore experience
- 7+ years developing data engineering pipelines
- 7+ years working on big data technologies
- Extensive experience with Python and Spark
- BS/MS in computer science or equivalent work experience
- Ability to understand a large existing codebase
Qualification wording
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
BS/MS in computer science or equivalent work experience
Proven ability to understand a large existing codebase.
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.
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Jul 29, 2026 · 86 days ago
- Recorded sightings
- 348
- Last seen by us
- Oct 12, 2026
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Job description
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.
Mountain View $202,500 - $274,000
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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.
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