Senior Data Engineer III – On‑Site Irvine

In-N-Out Burger; Irvine (CA); On-site; USD 134,000 - 161,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life Insurance

FSA

Job summary

In-N-Out Burger in Irvine, CA seeks a Data Engineer III to join a collaborative IT team focused on data integration, platform operations, and BI. On-site in Irvine, with possible 2027 relocation to San Dimas, you will design scalable data pipelines and reliable datasets to enable analytics across the business.

The role demands 5+ years in data engineering, strong SQL/PL/SQL, Python, Oracle DBs, and experience with BI tools. Excellent problem-solving and stakeholder communication are essential.

Qualifications

• Bachelor's degree in CS/IS/Analytics or related field.
• Minimum 5+ years in a Data Engineering role.
• Strong SQL/PL/SQL, Python, and data modeling skills.
• Experience with Oracle databases and data pipelines.
• Knowledge of ETL/ELT and data warehousing concepts.
• Ability to collaborate with both technical and non-technical stakeholders.
• Experience with BI tools like Tableau or Power BI is a plus.
• Detail-oriented and capable of managing multiple projects.

Responsibilities

• Design, build and maintain data architectures and pipelines.
• Develop data sets and models to support analytics and BI.
• Collaborate with analytics and business teams on curated datasets.
• Improve data reliability, efficiency, and quality.
• Build API integrations for growing data volume.
• Optimize SQL/PL/SQL workloads for analytics and reporting.
• Document pipelines, mappings, and transformation logic.

Skills

SQL

PL/SQL

Python

Data modeling

ETL/ELT

Education

Bachelor's degree in Computer Science / Information Systems / Analytics

Tools

Oracle

Oracle Cloud

Tableau

Power BI

Spark

Job description

In-N-Out Burger in Irvine, CA seeks a Data Engineer III to join a collaborative IT team focused on data integration, platform operations, and BI. On-site in Irvine, with possible 2027 relocation to San Dimas, you will design scalable data pipelines and reliable datasets to enable analytics across the business.

The role demands 5+ years in data engineering, strong SQL/PL/SQL, Python, Oracle DBs, and experience with BI tools. Excellent problem-solving and stakeholder communication are essential.