Data Engineer - Quickbooks Capital and Lending

Staff Data Engineer - Quickbooks Capital and Lending Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as Turbo Tax, Credit Karma, Quick Books, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Come join the Quick Books 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 Quick Books 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.

• Understand functional requirements, develop technical designs and specifications, code and test.
• Size work of medium to large complexity and manage timelines and deliveries.
• Design and develop software using data engineering technologies.
• Spend 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.
• Use Agile Development, SCRUM, or Extreme Programming methodologies.
• Perform data modeling, data warehousing, and build ETL pipelines.
• Provide production support via quarterly on‑call rotations to monitor production systems and resolve production errors & incidents.

• BS/MS in computer science or equivalent work experience.
• 7+ years experience developing data engineering pipelines using technologies like Python, PySpark, Spark, SQL, Data Bricks, AWS, Elastic Search, Kafka.
• 7+ years experience working on Big Data 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.