Description & RequirementsWe 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 in-office only.
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, Exempt
- Office Hours: Hours will vary but typically work Mon-Fri, 8:00 am-5:00 pm
- Annual Pay Range is $134,529 to $161,434
- 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.
- Some overtime will be required
- Dental, Vision, Life Insurance, FSA's, 401(k)/Profit Sharing Plan, Adoption Assistance, Education Reimbursement, Supplemental Health Plans and Pet Insurance
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 strongly preferred).
- Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark is highly desirable.
- 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.
