Staff Data Engineer - Quickbooks Capital and Lending

Company OverviewIntuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, 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.Job OverviewCome 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.ResponsibilitiesUnderstand 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 & incidentsQualificationsBS/MS in computer science or equivalent work experience7+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka7+ year’s experience working on BigData technologies.Extensive experience with Python and SparkProven 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 featurizationIntuit 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