Staff Software Engineer

Company Overview

Job Overview

Join Intuit’s Business Intelligence (BI) Platform team as we reimagine the next generation of scalable, intelligent data infrastructure. We serve over 240TB of data, 2 billion records daily, and deliver 200+ million report requests through 20+ complex pipelines—supporting enterprise and mid-market customers on their most critical decisions.

We’re looking for a Staff Backend & Data Engineer to build and scale our next-generation core data services and platform APIs. This role is focused on delivering the abstraction layer that powers data-driven applications, with a strong emphasis on streaming ingestion, event-driven architecture, and scalable backend systems.You’ll work closely with engineering, product, and data infrastructure teams to design APIs and data layers that are reliable, observable, and high performing—supporting everything from ingestion to intelligent services.

Responsibilities

• Design, build, and maintain core backend services and APIs that abstract and expose data across systems.
• Develop and optimize streaming data ingestion pipelines using Apache Spark and Flink.
• Own and evolve key event-driven services using Kafka, focusing on scalability, durability, and delivery guarantees.

• Implement and maintain REST and Golang-based APIs for internal and external data consumption.
• Design and manage storage strategies across SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) systems.
• Build and manage low-latency caching solutions using tools like Redis to improve query response times.
• Collaborate with cross-functional teams to define SLAs, schemas, and platform patterns.
• Contribute to code reviews, architecture discussions, and team-wide best practices in distributed systems and backend design.

Qualifications

• 8+ years of experience in backend engineering and data systems at scale.
• Strong hands-on expertise in Java (Spring Boot) and one or more backend frameworks (Golang preferred).
• Deep experience with Apache Spark and Apache Flink for stream processing.
• Expertise in event-driven architectures, especially Kafka as the messaging backbone.
• Proficient in both SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB, Cassandra.
• Solid understanding of caching strategies and systems like Redis or Memcached.
• Experience designing and scaling RESTful APIs; familiarity with Golang is a strong plus.
• Excellent problem-solving skills and the ability to thrive in fast-paced, high-autonomy environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.