Software Engineer 1 - Data

Overview

As an entry level Data Engineer, you will contribute to high-scale pipelines that capture, process, and deliver

clickstream data

across the enterprise. This data is the lifeblood of our organization—it powers real-time

Marketing

,

personalization

, and provides the

Analytics

that drive our product strategy.

Responsibilities

• Develop feature enhancements to high throughput real-time and batch pipelines
• Contribute to observability and operational excellence of business critical pipelines
• Contribute to modernization efforts to bring meaningful difference in quality , availability and performance for thousands of internal data consumers

Qualifications

Required Qualifications

• Programming: Proficiency in Java and Python.
• Data Engineering : Understanding of data engineering concepts and atleast 6-9 months of working experience developing / managing real-time and batch pipelines in spark and flink.
• SQL Fundamentals: Strong ability to write queries (Joins, CTAs, Group Bys).
• Academic Background: B.S. in Computer Science, Data Science, or a related technical field (Recent grads are encouraged!).
• CS Foundations: Understanding of Data Structures (Hashes, Lists, Trees) and how they impact processing speed.
• Version Control: Basic Git skills (pull requests, branching, resolving merge conflicts).

Intuit 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: