Senior Staff Data Engineer - Hands-on Tech Leader

Intuit, Inc.

San Diego (CA)

On-site

USD 206,000 - 278,000

Full time

14 days+

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Job summary

Intuit in San Diego is seeking a Senior Staff Software Engineer to drive data engineering initiatives, build data frameworks, ingestion pipelines and tools using Google Cloud, Spark, Flink and AWS Big Data Systems. You will be a technical leader across multiple teams, guiding design, implementation and support of data products and services with minimal direct reports.

This role blends hands-on development with architectural leadership, mentoring engineers, collaborating with data scientists and

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, YAML, 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 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 EC2, S3, EMR, DynamoDB, and Athena, or equivalent cloud computing approaches (AWS emphasized).
Professional working experience in Data Warehousing and analytic architecture and experience with large data volumes and data visualization.
5+ years professional working experience with Hive, Hadoop, Kafka, Columnar Databases, and Graph Databases; experience with stream processing (Spark Streaming, Flink) a plus.
Experience with low-latency NoSQL datastores (DynamoDB, HBase, Cassandra, MongoDB) a plus.
Excellent interpersonal and communication skills and ability to influence at all levels.
Strategic mindset: influences team and platform 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; expertly diagnose and resolve complex cross-capability issues.
Lead, estimate work for initiatives; create technical design specifications and implement data models.
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; leverage end-to-end system design with a 5-pillar mindset (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization).
Actively stay abreast of industry best practices, share learnings, experiment, and apply cutting-edge technologies including AI.
Introduce new approaches and techniques rooted in the latest industry trends; create reusable libraries/tools and leverage Intuit technology.
Raise team knowledge and engagement via collaborative technical sessions; mentor engineers and develop a strong talent pipeline; promote inclusivity.
Collaborate effectively with peer engineers, data scientists, analysts, and architects; proactively connect with adjacent teams.
Influence and communicate with non-technical audiences and drive decisions across stakeholders.