Senior Data Platform Engineer: AI-Driven Data Tech

Intuit, Inc.; Mountain View (CA); On-site; USD 171,000 - 232,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit, Inc. is building its next generation data platform to empower data and AI-powered applications for its employees.

You will lead full-stack features, guide major feature launches, and collaborate with cross-functional teams to size opportunities and validate hypotheses via rapid experimentation. We seek a hands-on engineer with 5+ years in data engineering, strong Java (Spring) skills, and experience with cloud platforms, Spark, and GenAI-enabled workflows, all within a fast-paced

Qualifications

• BS or MS in Computer Science, Data Engineering, or a related field.
• 5+ years of software engineering experience with a strong data engineering background.
• Experience developing Java services (Spring/Spring Boot); Python is a plus.
• Experience with MySQL and PostgreSQL databases.
• Experience with containerization (Docker, Kubernetes).
• Cloud platform experience (AWS/Azure/Databricks/GCP) and familiarity with AWS services is a plus.
• Familiarity with Spark applications and real-time processing (Kafka, Flink).
• Experience building GenAI solutions and using GenAI tools to accelerate development.
• Experience with Agile/Scrum and strong collaboration skills.

Responsibilities

• 90%+ hands-on development across the full software lifecycle.
• Lead and estimate work for key features and design specifications.
• Mentor engineers and foster an inclusive team culture.
• Collaborate with cross-functional partners to align with business goals.
• Drive performance, security, reliability, and cost considerations.

Skills

Java (Spring)

Python

MySQL/PostgreSQL

Docker/Kubernetes

Cloud platforms

Spark

Kafka

GenAI solutions

GenAI tools (Cursor/Claude)

Agile/Scrum

Education

BS in Computer Science

MS in Computer Science

Tools

Docker

Kubernetes

Spark

SQL

Job description

Intuit, Inc. is building its next generation data platform to empower data and AI-powered applications for its employees.

You will lead full-stack features, guide major feature launches, and collaborate with cross-functional teams to size opportunities and validate hypotheses via rapid experimentation. We seek a hands-on engineer with 5+ years in data engineering, strong Java (Spring) skills, and experience with cloud platforms, Spark, and GenAI-enabled workflows, all within a fast-paced