Staff Software Engineer

Company Overview

Job Overview

Intuit's mission is to empower global prosperity through innovative products that deliver exceptional customer value. Our iconic brands, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, collectively serve 100 million customers worldwide.

We are seeking a Staff Software Engineer to join the Virtual Expert Platform (VEP) Team. The Virtual Expert Platform provides a suite of capabilities enabling Sales to connect with prospective and existing customers. We are searching for a talented individual with a passion for working with data as a platform, eager to contribute to our industry-revolutionizing journey. As Intuit's customer base and data volume expand annually, robust data engineering within Data Insights is crucial for managing this growth and facilitating machine learning and data-driven product innovations. We maintain close collaboration with Product, Design, Marketing, and Operations to cultivate seamless experiences for both users and experts. We invite you to join us and contribute to a truly groundbreaking endeavor.

Responsibilities

• Design and develop web applications, data platforms and capabilities, prototypes, or proofs of concept (POCs).
• Engage in hands-on coding, contributing 60-80% to development across all phases of the software life cycle.
• Leverage coding expertise to guide the design and implementation of robust software solutions, addressing critical customer problems with scalability, security, ease of maintenance, and interoperability with numerous other systems.
• Collaborate effectively with peer engineers and architects to contribute to and resolve complex problems spanning respective areas, ensuring end-to-end quality in technology and customer experience.
• Influence and communicate effectively with non-technical audiences, including senior product and business management.
• Serve in a technical leadership capacity: Coach and mentor junior engineers on software engineering best practices, the application of AI to enhance applications, and the development of their technical expertise to ensure efficient and effective outcomes.
• Initiate AI integrations in production and assess their impact on software performance and user satisfaction, utilizing appropriate metrics.
• Actively remain current on industry best practices, disseminate learnings, and experiment with and apply cutting-edge technologies while proactively identifying opportunities to enhance software applications with AI technology.

Qualifications

• 7+ years of relevant experience, including 2-3 years in working with big data
• Experience in architecting E2E ecosystem for analytical and customer centric platforms
• Expert level experience with any of the following Object-Oriented Languages (OOD): Java/J2EE, C#.
• Working Knowledge of XML, JavaScript, JSON, YML and Linux
• Experience with Big-Data and Cloud technologies (AWS, GCP, Hive, Spark, Kafka, SQL, SparkSQL), Cassandra, Redshift, GraphDB, Apache Iceberg), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
• Good knowledge of machine learning and AI
• BS/MS in computer science or equivalent work experience.

Bonus Points:

• Knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino
• Some knowledge of Data Science/Machine Learning
• Knowledge of data visualization tools like Tableau or Qlik Sense
• Some experience with Salesforce or other CRM solutions.

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: