Software Engineer I

Overview

Come join the Intuit Fintech Data Engineering Team as a Software Engineer 1 in Data.

Intuit FinTech is your trusted financial expert empowering financial prosperity for businesses and

consumers through a convenient, powerful, AI-native fintech platform providing fast and easy access to

funds at the time of need. We process millions of transactions every day across various payment

methods. Millions of customers and merchants send billions of dollars moving at light-speed through our

systems annually.

Responsibilities

• Build and maintain data pipelines: Assist with the development and upkeep of
  
  

Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines

that move data from various sources into our data warehouses and lakes.

• Support data quality: Perform data validation and quality checks to ensure the
  
  

accuracy, reliability, and integrity of our datasets.

• Troubleshoot and monitor: Aid in monitoring data pipelines and infrastructure
  
  

and diagnose and resolve basic issues as they arise.

• Document processes: Create and maintain documentation for data pipelines,
  
  

processes, and schemas for future reference and knowledge sharing.

• Support large data volumes and design for scalability
• As a key member of the team drive adoption of new technologies, tools, and
  
  

process improvements to build world class analytical capabilities for web

analytics, optimization, experimentation and personalization.

• Work cross-functionally with various Intuit teams: Product Management, Project
  
  

Management, Data Architects, Data Scientists, Data Analysts, Software

Engineers, and other Data Engineers.

• Build GenAI based solutions to solve for customers/Experts benefit or internal
  
  

productivity gains.

Qualifications

• Bachelors/ Masters in computer science or related field.
• Experience in developing data pipelines, creating ETLs, and working in
  
  

distributed systems.

• Good SQL skills
• Ideal candidate to have 1+ years of experience in end-to-end data warehouse
  
  

implementations

• Hands on experience in AWS technologies (S3, EMR, Redshift) or other cloud
  
  

technologies.

• Hands on experience in any of the programming languages (Python, Java, etc).
• Knowledge of AI / ML, Generative AI
• Understanding of the Software design and architecture process.
• Hands on experience with unit testing and data quality automation checks
• Excellent communication skills and an eagerness to learn and grow in a fast-
  
  

paced environment.

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: