Build enterprise-scale data engineering pipelines and features for Intuit’s QuickBooks Capital and Lending team.

Translate functional requirements into technical designs and specifications; implement, code, and test solutions
Size work for medium to large complexity items and manage timelines and delivery outcomes
Design and develop software using data engineering technologies
Spend approximately 90% of time hands-on with designing, coding, testing, and supporting production systems through on-call rotations
Identify and resolve defects across testing, pre-production, production, and post-release patching
Partner cross-functionally with product management, other engineering teams, and business units to drive results
Apply Agile Development practices, including SCRUM or Extreme Programming methodologies

7+ years developing data engineering pipelines using technologies including Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, and Kafka
7+ years working with BigData technologies
BS/MS in computer science or equivalent work experience
Strong capability with Python and Spark, including the ability to understand and work within large existing codebases
Experience across the Software Development Life Cycle (SDLC)
Proven experience building and supporting large-scale enterprise data engineering pipelines and data featurization
Demonstrated commitment to engineering quality and operational excellence, including production support via quarterly on-call rotations to monitor systems and resolve production errors and incidents
Strong communication skills, including the ability to explain complex technical issues to technical and non-technical audiences
Strong understanding of the software design and architecture process
Experience with unit testing and Test-Driven Development (TDD)

Location: Mountain View, CA (onsite)

Compensation: USD 202,500 - 274,000 per year

Staff Software Data Engineer

Job Description