Data Engineer III

Come join our family at In-N-Out Burgers!

We have an excellent opportunity for a full-time Data Engineer III in the I.T. department in our Irvine, CA office
. This role operates in a highly collaborative environment where Data Engineers work across data integration, development, data platform operations, and business intelligence teams to support and implement reporting and analytics used by In-N-Out Burger.

* This position is full-time onsite, in office only. Ideal candidates can start work in Irvine, CA and are open to being based out of San Dimas, CA by 2027.

• Design, build and maintain data architectures, integrations and pipelines that align with business and technical requirements.
• Develop reliable data sets, data models and curated data layers to support analytics, reporting, dashboard and business intelligence solutions.
• Partner with the analytics team and business stakeholders to design and deliver curated datasets that enable reporting, data visualizations, self-service analytics and data-driven decision-making.
• Identify opportunities to improve data reliability, efficiency, scalability and overall data quality.
• Builds and supports API integrations to handle increasing data volume, system complexity and business demand.
• Engineer scalable data pipelines and curated data layers that integrate, transform, and standardize complex data from disparate source systems to meet business, analytical and technical requirements.
• Implement data quality monitoring, validation, and control processes to ensure production data is accurate, complete, timely, and reliable for business users, reporting, analytics and downstream processes.
• Perform data analysis to troubleshoot data related issues, identify root causes and assist with issue resolution.
• Work closely with frontend engineers, backend engineers, product managers, analysts, and business teams to support long-term data platform strategy.
• Monitor performance of data pipelines, integrations, data flows and SQL based systems.
• Optimize SQL and PL/SQL workloads, transformation processes, and data flows to support scalable analytics, integration, and reporting solutions.
• Document data pipelines, source-to-target mappings, business rules, transformation logic and operational processes.
• Maintain confidentiality and security of sensitive, confidential, and business critical data.
• Full-time position, Exempt
• Office
  
  Hours:
  
  Monday-Friday, 8:00 am-5:00 pm; occasional work outside of standard business hours may be required
• Department needs may require occasional overtime
• Pay Range: $134,000 to $161,000 annualized salary, plus bonus
• The above represents the expected pay range for this job requisition. Ultimately, in determining your pay, we will consider your experience and other job-related factors.
• Excellent Benefits to include Medical, Dental, Vision, Life Insurance, FSA's, 401(k)/Profit Sharing Plan, Adoption Assistance, Education Reimbursement, Supplemental Health Plans and Pet Insurance

• Bachelor's degree in Computer Science, Information Systems, Analytics or related fields is required.
• Minimum 5+ years’ experience in a Data Engineering role.
• Strong experience with enterprise relational database platforms. Oracle highly preferred.
• Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark.
• Experience working with relational databases and large-scale data sets.
• Experience designing, developing, and maintaining data pipelines, integrations, and data models.
• Experience integrating data from multiple source systems, including applications, APIs, databases and flat files.
• Understanding of data warehousing concepts, dimensional modeling, data marts, and analytical reporting structures.
• Ability to analyze complex data issues and troubleshoot data discrepancies across systems.
• Strong understanding of ETL/ELT processes and data integration best practices.
• Ability to work with both technical and non-technical stakeholders.
• Ability to manage multiple projects and priorities.
• Strong communication, documentation, and problem-solving skills.
• Highly motivated and enjoys…