Principal Software Engineer Data Engineering

Job description

**Overview**

Come join the Virtual Expert Platform Data Engineering Team as a Principal Software Engineer.

Intuit is the global leader in financial management software where we have pioneered the shift to Virtual Platforms, cloud computing for consumers, small businesses and those that serve them.

Intuit moves as fast as a startup, and we are constantly disrupting ourselves as we identify major new technology and design trends that are needed to deliver our mission to power prosperity around the world.

Our groups are fast-paced teams focused on delivering innovative capabilities, and having fun while doing it.

The Virtual Expert Platform (VEP) powers TurboTax Live by providing the underlying services and capabilities that enable AI-driven tax expertise for customers.

It acts as a foundational platform for critical Intuit offerings, ensuring rapid onboarding and customization to meet their unique requirements and scale.

As a Principal Software Engineer, you will define and drive the data strategy for the VEP team, providing technical leadership and using expertise in cloud platforms and big data technologies to solve complex data problems and align data infrastructure with strategic business goals.

You will participate in the entire product lifecycle for data, software products, and services that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products.

You will utilize specialized knowledge to design, develop, and maintain Intuit’s data solutions.

At Intuit, we are passionate about growing the careers of talented technologists who are equally passionate in solving the most complex customer problems.

This leader is expected to innovate and enable applications that are highly interactive, fast and can scale to billions of interactions.

**Responsibilities**

Technical Leadership & Execution

+ Drive end-to-end data architecture in all phases of the software life cycle across Intuit’s product offerings
+ Lead the technology evolution of high-volume data products, including data, analytics, productivity, and tools
+ Collaborate with business stakeholders to understand their needs and translate them into effective, scalable solutions.

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 techniques rooted 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 engagement through 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 partners to 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**

+ BS or MS in Computer Science, Data Engineering, or a related field.
+ 15+ years of software engineering experience, with a strong background in data engineering.
+ Expertise in developing Data pipelines, big data frameworks like Apache Spark, Hadoop, and streaming technologies such as Kafka.
+ 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.
+ Expertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker.
+ 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.
+ Deep knowledge of data lake and data warehouse solutions like Snowflake, Databricks, or similar.
+ Understanding of metadata management, data lineage, and data governance principles.
+ 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.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach.

This position will 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 (https://www.intuit.com/careers/benefits/full-time-employees/) ).

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:

Bay Area California: 254,500 - 344,000

Southern California: 242,000 - 327,500

**What you'll bring**

**How you will lead**
EOE AA M/F/Vet/Disability.

Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Required Skill Profession

Other General