Responsibilities
Technical Leadership & Execution
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. Expertly diagnose and resolve complex, cross-capability issues.
Lead, estimate work for initiatives Create 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 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
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.
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.
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.
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: San Diego $205,500 - $277,500
