Staff Data Platform Engineer, Experimentation

Intuit; Oakland (CA); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit in Oakland seeks a Staff Software Engineer to lead data architecture for the experimentation platform. You will design scalable data models, pipelines, and governance to support thousands of metrics and multiple statistical methods.

You will partner with data scientists, analysts, product managers, and engineers to set the technical roadmap, deliver low-latency analytics on Google Cloud, and mentor junior engineers while driving high-impact, observable systems.

Qualifications

• 10+ years in software engineering focusing on data engineering and data architecture.
• Proficiency in Scala, Python, and SQL.
• Experience building large-scale data pipelines with Spark, Flink, Dataflow, BigQuery, or Airflow/Composer.
• Familiarity with Python libraries for statistical analysis (Statsmodels, SciPy) is a plus.

Responsibilities

• Define Technical Strategy: provide the roadmap and architecture for the platform’s infrastructure.
• Develop Near Real-Time Systems: lead initiatives to build a real-time ecosystem on Google Cloud.
• Build Scalable Pipelines: maintain large-scale batch data pipelines with Dataflow, BigQuery, and Airflow/Composer.
• Develop Core Capabilities: enhance platform with experiment targeting and scalable localized assignments.
• Optimize Data Infrastructure: drive efficiency across pipelines, frameworks, and queries.
• Stay Current with Industry Trends: integrate latest analytics and cloud tech for the platform.
• Mentor and Guide: provide leadership to junior engineers.
• Collaborate on Experiment Analysis: work with marketers, analysts, and data scientists on metrics and methods.

Skills

Scala

Python

SQL

Data pipelines

BigQuery

Education

Bachelor's or Master's in CS/Statistics

Tools

Spark

Flink

Google Dataflow

BigQuery

Airflow/Composer

Job description

Intuit in Oakland seeks a Staff Software Engineer to lead data architecture for the experimentation platform. You will design scalable data models, pipelines, and governance to support thousands of metrics and multiple statistical methods.

You will partner with data scientists, analysts, product managers, and engineers to set the technical roadmap, deliver low-latency analytics on Google Cloud, and mentor junior engineers while driving high-impact, observable systems.