Job description

Come join the Data Platform Team as a Senior Software Engineer. We are building our next generation data platform by creating solutions that transform how Intuit employees build, launch, and maintain data and AI-powered applications. We leverage large-scale data processing technologies from AWS, Databricks, and open source like Apache Spark and Apache Flink. This role involves applying high caliber software engineering and industry best practices to design, implement, and support full-stack features in our data processing platform. You will lead significant projects and participate in the entire product lifecycle for major feature and service launches. You will typically drive projects within your team. You will collaborate with cross-functional partners as needed, make localized technical decisions for the platform, and influence team engineering processes. We seek engineers that can wear multiple hats beyond just a developer; you will be encouraged to proactively identify and size new opportunities, and partner with stakeholders to ideate, test, and validate hypotheses using rapid experimentation. Ultimately, we're looking for someone who is passionate about data technologies, writes clean code, and loves building for customers. Responsibilities Technical Craft & Execution • 90%+ hands-on development in all phases of the software life cycle • Rapidly fix bugs, troubleshoot complex issues, and define ongoing solutions • Lead and estimate work for key features • Create technical design specifications and data models Mentorship & Cross-Functional Collaboration • Share feedback and coaching with fellow engineers on best practices and technical decisions • Help foster an inclusive, collaborative team culture Growth & Product Mindset • Understand our platform’s customer behaviors, funnel metrics, and use cases; leverage this understanding to maximize the impact of your work • Demonstrate a good understanding of current technology trends and best practices • Drive technical design for your features to ensure quality, security, reliability, performance, and cost are reasonably balanced against our business goals and timelines Qualifications • BS or MS in Computer Science, Data Engineering, or a related field • 5+ years of software engineering experience with a strong background in data engineering • Expertise in developing Java services (e.g., Spring/Spring Boot); familiarity with Python service development is a plus • Expertise with database technologies such as MySQL and PostgreSQL • Expertise in containerization (e.g., Docker, Kubernetes) • Expertise in cloud platforms such as AWS, Azure, Databricks, or GCP; familiarity with AWS EMR, AWS S3, AWS MSK, and AWS EKS is a plus • Familiarity with developing Spark applications or using other distributed data frameworks to transform, analyze, and visualize data is a plus • Familiarity with real-time processing (e.g., Kafka, Spark Structured Streaming, Flink) is a plus • Experience building and using GenAI solutions to improve product offerings (e.g., personalization, recommendation, automation) • Experience using GenAI technologies like Cursor and Claude to accelerate development and improve efficiency for both yourself and your team • Expertise with software development methodologies and practices, including Agile and Scrum • Strong written, verbal, and collaboration skills • Willingness to learn and adapt to new priorities, tools, and technologies in a fast-paced, dynamic 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: Mountain View $171,000 - $231,500

Requirements

Must-haves

Ultimately, we're looking for someone who is passionate about data technologies, writes clean code, and loves building for customers.
Technical Craft & Execution
90%+ hands-on development in all phases of the software life cycle
Rapidly fix bugs, troubleshoot complex issues, and define ongoing solutions
Lead and estimate work for key features
Create technical design specifications and data models
Mentorship & Cross-Functional Collaboration
Share feedback and coaching with fellow engineers on best practices and technical decisions
Help foster an inclusive, collaborative team culture
Growth & Product Mindset
Understand our platform’s customer behaviors, funnel metrics, and use cases; leverage this understanding to maximize the impact of your work
Demonstrate a good understanding of current technology trends and best practices
Drive technical design for your features to ensure quality, security, reliability, performance, and cost are reasonably balanced against our business goals and timelines
BS or MS in Computer Science, Data Engineering, or a related field
5+ years of software engineering experience with a strong background in data engineering
Expertise with database technologies such as MySQL and PostgreSQL
Expertise in containerization (e.g., Docker, Kubernetes)
Experience building and using GenAI solutions to improve product offerings (e.g., personalization, recommendation, automation)
Experience using GenAI technologies like Cursor and Claude to accelerate development and improve efficiency for both yourself and your team
Expertise with software development methodologies and practices, including Agile and Scrum

Nice-to-haves

Expertise in developing Java services (e.g., Spring/Spring Boot); familiarity with Python service development is a plus
Expertise in cloud platforms such as AWS, Azure, Databricks, or GCP; familiarity with AWS EMR, AWS S3, AWS MSK, and AWS EKS is a plus
Familiarity with developing Spark applications or using other distributed data frameworks to transform, analyze, and visualize data is a plus
Familiarity with real-time processing (e.g., Kafka, Spark Structured Streaming, Flink) is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsjavapythondockerkubernetesazuregcpagilescrum

Platform: career-feeds
Effort: medium