Software Engineer 1

Overview

Come join the Virtual Expert Platform Data Engineering Team as a Software Engineer 1. Intuit is the global leader in financial management software where we have pioneered the shift to Virtual Platforms, cloud computing for consumers, small businesses and those that serve them. Intuit moves as fast as a startup, and we are constantly disrupting ourselves as we identify major new technology and design trends that are needed to deliver our mission to power prosperity around the world. Our groups are fast-paced teams focused on delivering innovative capabilities and having fun while doing it.

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 will 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: