Senior Staff Software Engineer, Data Engineering

Intuit, Inc.; Mountain View (CA); On-site; USD 206,000 - 278,000; Full time

Job summary

Intuit, Inc. is seeking a Senior Staff Software Engineer on the Data Engineering Team.

You will lead technical design and implementation across multiple scrum teams, building data frameworks, ingestion pipelines, and AI-enhanced data products using AWS, GCP, Spark, Flink, and related technologies. The role emphasizes hands-on development (70–85%), with no direct reports, and collaboration with product managers, designers, and data scientists to validate hypotheses through rapid experimentation.

Qualifications

• BS or MS in Computer Science, Data Engineering, or a related field.
• 9+ years of software engineering experience with a strong data engineering background.
• Expertise in Java (Spring/Springboot) and Scala for Spark streaming/applications, or other JVM languages.
• 5+ years of strong SQL, XML, JSON, YAML; very strong Python and Linux.
• Knowledge of AI/ML, Generative AI, and growth-focused AI/ML applications.
• Experience with GenAI tools such as Cursor and Windsurf to accelerate development.
• Expertise with Docker, Spark, Scala, Jupyter Notebook, Databricks Notebooks, Kubernetes, SageMaker.
• Strong cloud experience (AWS, Azure, GCP), with AWS specifics.
• Data warehousing and analytics architecture; large data volumes and data visualization.
• 5+ years with big data tech: Hive, Hadoop, Kafka, columnar DBs, Graph DBs; experience with streaming (Spark Streaming, Flink).
• Experience with NoSQL datastores (DynamoDB, HBase, Cassandra, MongoDB).
• Excellent communication and ability to influence at all levels.
• Strategic mindset; influence team/platform strategy for business impact.
• Willingness to explore new areas and drive immediate impact.

Responsibilities

• Provide technical leadership across multiple teams to design and implement data products.
• Drive end-to-end system design using cloud platforms and big data tools.
• Mentor engineers and collaborate with data scientists, analysts, and product teams.
• Influence architecture and product direction across multiple scrum teams (10–35 engineers).

Skills

Java/Spring

Scala

Python

SQL

Big data

GenAI

Education

BS in Computer Science

MS in Computer Science

Tools

Docker

Kubernetes

Jupyter

Databricks

SageMaker

Cursor

Windsurf

AWS

GCP

Azure

Hive

Hadoop

Kafka

Cassandra

MongoDB

DynamoDB

Flink

Spark

Job description

Come join the Data Engineering Team as a Senior Staff Software Engineer. We are leveraging big data technologies to gain new insights into our customer experiences, building data frameworks, ingestion pipelines and tools. Some of the technologies we are leveraging include Google Cloud, SPARK, Flink and AWS Big Data Systems.

As a Senior Staff Software Engineer, you will be atechnical leader and domain expert across multiple teams, responsible for multiple capabilities or sections of a composite application. This role involves applyingmaster level software engineering and industry best practicesto design, implement, and support software products and services, leading complex projects. You will participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying afull understanding of software engineering methodologies and industry best practicesfor data products. You will utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions.

This is an individual contributor level role with no direct reports or managerial duties. You will typically drive work across multiple scrum teams (10 to 35 engineers), influencing technology and product direction and making localized decisions that balance short-term goals with long-term business impact. You will act as a role-blended engineer, proactively identifying and sizing growth opportunities, and partnering closely with product managers, designers, and data scientists to ideate, test, and validate hypotheses using rapid experimentation.

Responsibilities

Technical Leadership & Execution

• 70-85% hands-on developmentin all phases of the software life cycle.

• Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions.Expertly diagnose and resolve complex, cross-capability issues.

• Lead, estimate work for initiativesCreate technical design specifications and implement data models

Growth & Product Mindset

• Understand customer behavior, funnel metrics, and business levers,ensuring every technical investment drives measurable impact.

• Demonstrate a deep understanding of current technology trends and best practices. You will leverage expertise in end-to-end system design using a mindset of 5 pillars (Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization), creating and promoting standards and guiding teams to balance long and short outcomes.

• Actively stay abreast of industry best practices, share learnings, experiment, and apply cutting-edge technologies while proactively identifying opportunities to enhance software applications with AI technology.

• Introduce new approaches and techniquesrooted in the latest industry trends and best practices that alter projects' trajectories. Create reusable and self-serve libraries/tools and leverage Intuit technology.

Mentorship & Cross-Functional Collaboration

• Raise team knowledge, skill, and engagementthrough collaborative technical sessions and other tech forums.Mentor and assess engineers, continuously developing and maintaining a strong talent pipeline, and actively participating in calibrations and assessments. Role model and develop a culture of inclusivity on the team. You will guide and mentor engineers to elevate experimentation and growth engineering capabilities across the organization.

• Collaborate effectively with peer engineers, data scientists, analysts, and architects;Proactively connect and collaborate with adjacent teams and cross-functional partnersto ideate and solve problems together.

• Influence and communicate effectively with non-technical audiences, including senior product and business management. You will explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions.

Qualifications

Qualifications

• BS or MS in Computer Science, Data Engineering, or a related field.

• 9+ years of software engineering experience, with a strong background in data engineering.

• Expertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages.

• 5+ years of Expert professional experience with SQL, XML, JSON, YML, very strong Python and Linux.

• Knowledge of AI / ML, Generative AI, and experience with growth-focused AI/ML applications (personalization, recommendation engines, predictive modeling).

• Use ofGenAI technologiessuch as Cursor or Windsurf toaccelerate development and efficiencyin the software development tobuild reusable GenAI platform components.

• Expertise with tools and frameworkssuch as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker.

• Expert knowledge of software development methodologies and practices, includingAgile Development, SCRUM, and/or Extreme Programming methodologies.

• Strong background using cloud platforms such as AWS, Azure, or GCP, including Amazon Web Services: EC2, S3, EMR (Elastic Map Reduce), DynamoDB, and Athena, or equivalent cloud computing approaches. Expertise with AWS is specifically noted.

• Professional working experience in Data Warehousing and analytic architectureand experience working with large data volumes and data visualization.

• 5+ years professional working experience with various big data technologies, including Hive, Hadoop, Kafka, Columnar Databases, and Graph Databases. Strong experience with stream processing or near real-time data ingestion is important.

• Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Cassandra, MongoDB) is a plus. Experience with building stream-processing applications using Spark Streaming, Flink, etc., is a plus.

• Excellent interpersonal and communication skillsandability to influence at all levels.

• Strategic mindset:influences the team and platform’s short and long-term strategy for maximum business impact.

• Uses data to influence product and technology decisionswithin their scope.

• Comfortable parachuting into new areas, quickly understanding technical landscapes, and driving immediate impact.

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.

San Diego $205,500 - $277,500