Senior Staff Software Engineer, Data Engineering

Intuit, Inc.; United States; On-site; USD 206,000 - 278,000; Full time

Job summary

Intuit, Inc. is seeking a Senior Staff Software Engineer to lead data engineering initiatives, architect data platforms, and drive end-to-end solutions across multiple teams.

You will contribute hands-on across the stack using Java/Scala, Spark, and cloud services, while mentoring others and shaping data strategy. You will work closely with data scientists, product managers, and designers to develop scalable data frameworks, ingestion pipelines, and AI-enabled features.

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 of GenAI technologies such as Cursor or Windsurf to accelerate development and efficiency in the software development to build reusable GenAI platform components.
• Expert knowledge of software development methodologies and practices, including Agile 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 architecture and 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 skills and ability 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 decisions within their scope.
• Comfortable parachuting into new areas, quickly understanding technical landscapes, and driving immediate impact.

Responsibilities

• 70-85% hands-on development in all phases of the software life cycle.
• Rapidly fix bugs and solve problems, and troubleshoot issues, defining ongoing solutions. Diagnose and resolve complex, cross-capability issues.
• Lead, estimate work for initiatives, create technical design specifications and implement data models.

Skills

Java & Scala

Python

SQL/XML/JSON

Cloud AWS

Spark & Flink

Docker & Kubernetes

GenAI tools

Data Warehousing

Big data technologies

Education

BS or MS in Computer Science or Data Engineering

Tools

Docker

Spark

Kubernetes

Databricks Notebooks

Jupyter Notebook

SageMaker

Hive/Hadoop

Kafka

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