Data Engineer III - Build Scalable Pipelines & Dashboards

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

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

FSA

401(k)/Profit Sharing

Adoption Assistance

Education Reimbursement

Pet Insurance

Job summary

In-N-Out Burgers, Inc. in Irvine, CA, is seeking a Data Engineer III in the I.T. department for full-time onsite work supporting data integration, data platform operations and BI teams.

You will design and maintain data architectures, pipelines and curated datasets, collaborating with analytics, product and business stakeholders to enable reporting, dashboards and data-driven decisions. The role requires 5+ years in data engineering, Oracle/SQL/PL-SQL, Python and Spark, with experience building

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Analytics or related fields.
• Minimum 5+ years’ experience in a Data Engineering role.
• Strong experience with enterprise relational databases; Oracle preferred.
• Advanced proficiency in SQL, PL/SQL, and Python; Spark experience helpful.
• Experience designing, developing, and maintaining data pipelines and models.

Responsibilities

• Design, build and maintain data architectures, integrations and pipelines.
• Develop reliable data sets and curated data layers for analytics and BI.
• Collaborate with analytics, product and business teams to deliver datasets for reporting and visualization.
• Improve data reliability, efficiency, scalability and quality.
• Build and support API integrations to handle increasing data volume.

Skills

SQL

PL/SQL

Python

Spark

Data integration

Education

Bachelor's degree in Computer Science or related field

Tools

Oracle

Oracle Cloud

Tableau/Power BI

Job description

In-N-Out Burgers, Inc. in Irvine, CA, is seeking a Data Engineer III in the I.T. department for full-time onsite work supporting data integration, data platform operations and BI teams.

You will design and maintain data architectures, pipelines and curated datasets, collaborating with analytics, product and business stakeholders to enable reporting, dashboards and data-driven decisions. The role requires 5+ years in data engineering, Oracle/SQL/PL-SQL, Python and Spark, with experience building