Senior Data Platform Engineer - AI & Cloud Pipelines

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

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.