Pay
Higher than most similar jobs
$203K–$274K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Staff Software Data Engineer - Quickbooks Capital And Lending Team
Mountain View, California, United States
Actively hiring, first seen by us 2 days ago- Pay
$202,500–274,000/year · BaseAnnual period assumed — pay source
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: 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 and build data engineering pipelines and features at enterprise scale
Turn functional requirements into technical designs, then code and test
Size medium to large work and manage timelines and deliveries
Resolve defects and bugs across testing, pre-production and production
Support production systems through quarterly on-call rotations
From the employer’s posting
build enterprise scale data engineering pipelines and features for our QuickBooks Capital customers
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
Resolve defects/bugs during testing, pre-production, production, and post-release patches
You will support what your team builds in production via quarterly on-call rotations
What you’ll bring
All qualificationsCore experience
- 7+ years building data engineering pipelines with Python, Spark, SQL, Databricks, AWS
- 7+ years working on big data technologies
- Strong experience with Python and Spark
- BS or MS in computer science or equivalent work experience
- Experience across the software development life cycle
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.
Strong experience with Python and Spark and ability to understand a large existing codebase.
BS/MS in computer science or equivalent work experience.
Experience with the entire Software Development Life Cycle (SDLC).
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
At Intuit, jobs usually come down by about day 22.
From 10,957 similar postings that came down, and 64 of Intuit’s. Coming down is not always a hire.
Intuit is hiring
59 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Kafka
- Spark
- PySpark
Where the posting names them
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. Responsibilities
Qualifications - 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).
Your next step
Complete your application on jobs.intuit.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
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.
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
Qualifications
- 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)
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:
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
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: The expected base pay range for this position is: Mountain View $202,500 - $274,000
- Location & working pattern
Mountain View, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.