In-N-Out

Fast food chain serving made-to-order burgers

Data Engineer

Data EngineeringUpdated on Nov 11

Full-time

About the Job

Requirements

A bachelor's degree in Computer Science, Information Systems, Analytics, or a related field is required.
At least 5 years of experience in a data engineering role is required.
Strong experience with enterprise relational database platforms is required; Oracle is highly preferred.
Advanced proficiency in SQL, PL/SQL, and Python is required, with exposure to modern data engineering tools and distributed processing frameworks such as Spark.
Experience working with relational databases and large-scale data sets is required.
Experience designing, developing, and maintaining data pipelines, integrations, and data models is required.
Experience integrating data from multiple source systems, including applications, APIs, databases, and flat files, is required.
Understanding of data warehousing concepts, dimensional modeling, data marts, and analytical reporting structures is required.
Ability to analyze complex data issues and troubleshoot data discrepancies across systems is required.
A strong understanding of ETL/ELT processes and data integration best practices is required.
Ability to work with technical and non-technical stakeholders is required.
Ability to manage multiple projects and priorities is required.
Strong communication, documentation, and problem-solving skills are required.
Ability to independently and reliably manage a heavy workload in a fast-paced environment is required.
Newly hired associates in Irvine must be prepared for the potential relocation options described: participating in the group move to Tennessee with relocation assistance or working from the western headquarters in Baldwin Park when it opens in 2029.

Responsibilities

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, dashboards, 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.
Build and support 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 the 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 the confidentiality and security of sensitive, confidential, and business-critical data.

Desired Qualifications

Experience with Oracle databases, SQL, and PL/SQL.
Experience with Oracle Cloud, Oracle Fusion, ADW, ATP, OAC, FDI, OCI Data Integration, AIDP Workbench, or Object Storage.
Experience with Oracle GoldenGate.
Experience with data warehouse, Lakehouse, or medallion architecture patterns.
Experience with cloud-based data platforms and modern data engineering tools.
Experience supporting business intelligence tools such as Tableau, Power BI, Oracle Analytics Cloud, or similar platforms.
Experience with performance tuning for high-volume data environments.
Experience with data governance, security, access controls, and sensitive data handling.

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

In-N-Out Burger's IT team has an excellent opportunity for a Data Engineer III located in Irvine, CA.

In this role, you’ll design, develop, and maintain data pipelines, integrations, and data models that support reporting, analytics, and business decision-making across the organization. Working closely with data integration, development, data platform operations, and business intelligence teams, you’ll deliver reliable, scalable data solutions and help shape the future of In-N-Out Burger’s data environment.

*This role is based full time in office

General Responsibilities

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.

Work Schedule + Benefits

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
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
Salary 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.

Required Qualifications:

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 working through and solving complex problems.
Extremely detail oriented and passionate about work quality.
Proactive self-starter; action oriented.
Ability to independently and reliably manage a heavy workload in a fast-paced environment.

Preferred Qualifications:

Experience with Oracle databases, SQL, and PL/SQL.
Experience with Oracle Cloud, Oracle Fusion, ADW, ATP, OAC, FDI, OCI Data Integration, AIDP Workbench, or Object Storage.
Oracle Golden Gate.
Experience with data warehouse, Lakehouse, or medallion architecture patterns.
Experience with cloud-based data platforms and modern data engineering tools.
Experience supporting business intelligence tools such as Tableau, Power BI, Oracle Analytics Cloud, or similar platforms.
Experience with performance tuning for high-volume data environments.
Experience with data governance, security, access controls, and sensitive data handling.

Work Location Details

In-N-Out Burger plans to bring its west coast headquarters team back together under one roof by the end of 2029. After maintaining two Southern California office locations for many years, the company will permanently close its Irvine office in 2029 and once again headquarter the company’s western territory solely in Baldwin Park, California, where the company was founded in 1948.

Newly hired Associates in Irvine will be eligible to participate in the group move to Tennessee with relocation assistance or work from our western headquarters in Baldwin Park, CA, upon its opening in 2029. We are sharing this information early so candidates can make informed decisions while considering a career with In-N-Out Burger.

ABOUT In-N-Out Burgers

In-N-Out Burgers was founded in 1948 by Harry and Esther Snyder in Baldwin Park, California, and remains privately owned and operated. Under the direction of the Snyder family, the company has opened restaurants throughout California, Nevada, Arizona, Utah, Texas, Oregon, Colorado, Washington, Idaho, and Tennessee. In-N-Out’s menu has remained the same since 1948, and we have maintained a simple philosophy - serve only the highest quality product, prepare it in a clean and sparkling environment, and serve it in a warm and friendly manner. We have built a reputation for fresh, made-to-order foods prepared and served by friendly, well trained Associates. In-N-Out offers a competitive salary and comprehensive benefit package. We are an Equal Opportunity Employer by choice. Should there be a need, In-N-Out will provide a reasonable accommodation to complete the interview process upon request.

About the Company

In-N-Out

Fast food chain serving made-to-order burgers

In-N-Out Burger operates a chain of fast-food restaurants focused on serving simple, high-quality, made-to-order burgers and fries. Their core product is a straightforward menu of patties, fresh ingredients, and classic combinations, prepared to order and served in clean surroundings by friendly staff. The company emphasizes consistent quality and hospitality, maintaining no menus changes since 1948 and keeping operations privately owned by the Snyder family. This focus sets them apart from many competitors who offer broader menus and corporate ownership. The goal is to deliver a consistently high-quality product in a clean, welcoming environment with attentive service.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Irvine, CA
Founded: 1948

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