Staff Data Engineer — Big Data Pipelines & Spark Expert

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

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit, Inc. is hiring a Staff Software Engineer for the Data team to build enterprise-scale data pipelines using Python, PySpark, Spark, SQL, DataBricks, and AWS. The role emphasizes hands-on data engineering with 7+ years of experience, on-call production support, and cross-team collaboration.

Ideal candidates have strong SDLC experience and a passion for engineering excellence, scalable architectures, and delivering reliable data products for QuickBooks Capital customers.

Qualifications

• 7+ years of data engineering experience and delivering end-to-end data pipelines.
• Experience with SDLC and production-grade software delivery.

Responsibilities

• Understand requirements, design specifications, code and test software components.
• Size work of medium to large complexity and manage timelines.
• Design and build data engineering pipelines and features.
• Spend 90% on hands-on design, coding, testing and production support.
• Resolve defects during testing, pre-prod and post-release patches.
• Collaborate with product, other engineering teams, and business units.
• Apply Agile, SCRUM or XP practices.

Skills

Python

PySpark

Spark

SQL

DataBricks

AWS

Elastic Search

Kafka

Education

BS/MS in computer science

Tools

Python

PySpark

Spark

SQL

DataBricks

AWS

Elastic Search

Kafka

Job description

Intuit, Inc. is hiring a Staff Software Engineer for the Data team to build enterprise-scale data pipelines using Python, PySpark, Spark, SQL, DataBricks, and AWS. The role emphasizes hands-on data engineering with 7+ years of experience, on-call production support, and cross-team collaboration.

Ideal candidates have strong SDLC experience and a passion for engineering excellence, scalable architectures, and delivering reliable data products for QuickBooks Capital customers.