Staff Data Engineer - Scale Data Pipelines, Equity & Bonus

Intuit; Oakland (CA); On-site; USD 191,500 - 259,000; Full time

Job summary

Intuit Credit Karma is seeking a Staff Data Engineer in Oakland to build scalable data and software solutions powering a range of use cases. You will design data warehouses, data models, and pipelines, working with cross-functional teams to deliver robust, production-grade systems.

You’ll apply engineering fundamentals to ensure reliability and efficiency at scale, contributing to shared platforms and frameworks across data engineering and software domains.

Qualifications

• 10+ years of experience in software engineering or data engineering.

Responsibilities

• Design and develop scalable, production-grade data systems across the data lifecycle.
• Build and maintain robust data pipelines (batch and streaming) using modern data technologies.
• Apply software engineering best practices to ensure reliable, testable, and maintainable systems.
• Create reusable datasets and data models powering analytics and applications.
• Develop frameworks enabling scalable data processing and reducing duplication across teams.
• Collaborate with Product Management, Data Architects, Data Scientists, and Engineers to define data solutions.
• Translate ambiguous requirements into scalable technical designs and drive end-to-end execution.

Skills

Python

Java

Scala

SQL

Data Warehousing

Airflow/Composer

BigQuery

Spark

Education

Bachelor's degree in CS/Engineering

Tools

Google Dataflow

BigQuery

Airflow/Composer

Spark

Flink

Job description

Intuit Credit Karma is seeking a Staff Data Engineer in Oakland to build scalable data and software solutions powering a range of use cases. You will design data warehouses, data models, and pipelines, working with cross-functional teams to deliver robust, production-grade systems.

You’ll apply engineering fundamentals to ensure reliability and efficiency at scale, contributing to shared platforms and frameworks across data engineering and software domains.