Senior Software Data Engineer

Intuit

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Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$171,000–$231,500 / yr
Posted
12 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $201k
$112k $244k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $127,703–$213,125 — the blue band above. At the midpoint, this role pays about $201k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 255 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 236 roles with salary data.

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At a glance

TL;DR · Senior Software Data Engineer

Role Posting Log in to save

JOB TITLE: Senior Software Data Engineer - Quickbooks Capital and Lending As a Senior Software Data Engineer - Quickbooks Capital and Lending, you will join the QuickBooks Capital and Lending Platform team to build enterprise scale data engineering pipelines and features. You will spend ninety percent of your time hands-on designing, coding, testing, and supporting production systems. Your daily responsibilities include developing technical designs, sizing complex work, and resolving defects across the software development life cycle. You will utilize a technical stack including Python, PySpark, Spark, SQL, Databricks, AWS, Elastic Search, and Kafka. The role requires expertise in Big Data fundamentals, Agile methodologies, and Test-Driven Development. You will solve complex data engineering problems by collaborating cross-functionally to deliver robust featurization and production support for the QuickBooks Capital customer base.

Skills

Python PySpark Spark SQL Databricks AWS Elastic Search Kafka Big Data Agile SCRUM Extreme Programming SDLC TDD Claude Cursor

What you'll do

  • Develop technical designs, specifications, and code for enterprise-scale data engineering pipelines.
  • Design and develop software using Python, PySpark, Spark, SQL, Databricks, AWS, and Kafka.
  • Spend 90% of time hands-on designing, coding, testing, and supporting production systems.
  • Size work of medium to large complexity and manage project timelines and deliveries.
  • Resolve defects and bugs during testing, pre-production, and post-release patch phases.
  • Monitor production systems and resolve errors during quarterly on-call rotations.
  • Perform unit testing and follow Test-Driven Development (TDD) methodologies.

What we're looking for

  • 5+ years of experience developing data engineering pipelines using Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, and Kafka.
  • 5+ years of experience working with Big Data technologies.
  • BS/MS in computer science or equivalent work experience.
  • Strong experience with Python and Spark and the ability to understand a large existing codebase.
  • Experience with the entire Software Development Life Cycle (SDLC).
  • Experience building and supporting large-scale enterprise data engineering pipelines and featurization.
  • Experience with unit testing and Test-Driven Development (TDD).
  • Experience with AI coding tools Claude/Cursor (preferred).

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