Staff Software Data Engineer

Intuit; Mountain View (CA); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit in Mountain View, CA is seeking a Staff Software Data Engineer for the QuickBooks Capital and Lending team onsite. You will design and deliver enterprise-scale data engineering pipelines and features, with substantial hands-on development and production support through on-call rotations.

You will join the team to build data engineering pipelines for QuickBooks Capital customers, combining hands-on engineering with operational responsibilities to support production systems and post-release

Qualifications

• 7+ years building data engineering pipelines.
• Strong Python and Spark coding within large codebases.
• Experience across the full SDLC and on-call rotations.

Responsibilities

• Review requirements, design technical specs, and implement with test coverage.
• Size work for medium to large complexity and manage timelines.
• Design and develop data engineering pipelines and features.
• Spend ~90% of time designing, coding, testing, and supporting production systems including on-call responsibilities.
• Identify and resolve defects across testing, pre-prod, prod, and post-release patches.
• Collaborate with product management, other engineering teams, and business units to drive outcomes.
• Apply Agile, Scrum, or XP practices in delivery.

Skills

Python

PySpark

Spark

SQL

Big Data

SDLC

On-call rotations

Communication

Education

BS/MS in Computer Science or equivalent

Tools

DataBricks

AWS

Elastic Search

Kafka

SQL

Python

Spark

PySpark

Job description

Intuit is seeking a Staff Software Data Engineer for the QuickBooks Capital and Lending team in Mountain View, CA (onsite). In this role, you will design and deliver enterprise-scale data engineering pipelines and features, with substantial hands-on development and production support through on-call rotations.

Role Overview

You will join the QuickBooks Capital and Lending team to build data engineering pipelines and features for QuickBooks Capital customers. The work combines hands-on engineering with operational responsibilities to support production systems and address issues that arise after releases.

Responsibilities

• Review functional requirements, create technical designs and specifications, and implement with coding and testing.
• Size work for medium to large complexity and manage timelines and delivery.
• Design and develop software using data engineering technologies.
• Spend approximately 90% of time on designing, coding, testing, and supporting production systems, including on-call responsibilities.
• Identify and resolve defects or bugs during testing, pre-production, production, and post-release patching.
• Collaborate cross-functionally with product management, other engineering teams, and business units to drive outcomes.
• Apply Agile Development, SCRUM, or Extreme Programming practices as part of delivery.

Required Qualifications

• 7+ years developing data engineering pipelines using Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, and Kafka.
• 7+ years working on Big Data technologies.
• BS/MS in computer science or equivalent work experience.
• Strong experience with Python and Spark, including the ability to understand and work within a large existing codebase.
• Experience across the entire Software Development Life Cycle (SDLC).
• Demonstrated ability to build and support large-scale enterprise data engineering pipelines and data feature development.
• Demonstrated operational excellence and engineering focus, including production support via quarterly on-call rotations to monitor systems and resolve production errors and incidents.
• Demonstrated communication skills, including the ability to explain complex technical topics to both technical and non-technical audiences.
• Strong understanding of the software design and architecture process.
• Experience with unit testing and Test-Driven Development (TDD).

Key Technologies

• Python
• PySpark
• Spark
• SQL
• DataBricks
• AWS
• Elastic Search
• Kafka

Location and Compensation

Location: Mountain View, CA (onsite)
Salary Range: USD 202,500 to 274,000 per year