Staff Data Engineer: Big Data Platform & AI Enablement

Intuit Inc.; San Diego (CA); On-site; USD 189,000 - 255,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit Inc. in San Diego is seeking a senior data platform engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics.

You will collaborate with Product Management, Engineering, and Central Data Lake teams to ensure extensibility and alignment with requirements.

The role focuses on data normalization, governance, GenAI data enablement, CI/CD, testing, monitoring, and mentoring junior engineers.

Qualifications

• 8+ years in product analytics or web analytics.
• Advanced SQL and big data tools proficiency.
• Strong programming skills in Python or Java/Scala.
• Experience in engineering data pipelines and end-to-end platforms.
• Understanding of GenAI platforms and AI-native architectures.
• Strong data storytelling and leadership abilities.

Responsibilities

• Architect and build scalable big-data platforms for high-velocity data use cases.
• Collaborate cross-functionally with Product Management, Engineering, and Central Data Lake teams.
• Develop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability.
• Data and AI Enablement: curate datasets for analytics, including Generative AI and ML.
• Execute code reviews, promote coding best practices, CI/CD, testing, monitoring, and incident response.
• Lead and mentor junior team members in technical proficiency and collaboration.

Skills

SQL

Big Data

Python

Java/Scala

Data pipelines

GenAI platforms

BI tools

Communication

Cross-functional

Education

Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field

Master’s degree preferred

Tools

Redshift

Spark

Hive

BigQuery

Tableau

Qlik

Dash

Job description

Intuit Inc. in San Diego is seeking a senior data platform engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics.

You will collaborate with Product Management, Engineering, and Central Data Lake teams to ensure extensibility and alignment with requirements.

The role focuses on data normalization, governance, GenAI data enablement, CI/CD, testing, monitoring, and mentoring junior engineers.