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Full Time Data Transformation Jobs (NOW HIRING)

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time, Exempt * Office ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... SQL and complex data transformation logic to support analytics and reporting. 8)Monitor ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Logist IT

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior ... This position requires a deep understanding of data transformation and the ability to create ...

mSupply

Data Engineer

$117K - $140K/yr

Write and optimize SQL queries and Python scripts for data transformation, validation, and ad hoc ... Work Environment This is a full-time position. Duties are primarily performed in an office or ...

Logist IT

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior ... This position requires a deep understanding of data transformation and the ability to create ...

Excelsior College

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

The role involves designing, building, and maintaining test pipelines, data transformation or ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time, Exempt * Office ...

University of Rochester

$86K - $130K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

Excelsior Collage

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

The role involves designing, building, and maintaining test pipelines, data transformation or ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

University of Rochester

$86K - $130K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

University of Rochester

Sr Data Warehouse Developer

$86K - $129K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

University of Rochester

Sr Data Warehouse Developer

$86K - $129K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

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Full Time Data Transformation information

What is the difference between Full Time Data Transformation vs Data Analyst?

AspectFull Time Data TransformationData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with ETL toolsBachelor's in Statistics, Business, or related field; proficiency in Excel and SQL
Work EnvironmentData teams, IT departments, project-basedBusiness units, reporting teams, cross-functional
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare
Common Search/ComparisonFull Time Data Transformation vs Data Analyst

Full Time Data Transformation roles focus on designing and implementing data pipelines, ETL processes, and data integration. Data Analysts primarily analyze data to generate reports and insights. While both roles require data skills, Data Transformation emphasizes data engineering tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as a Full Time Data Transformation Specialist, and why are they important?

To excel as a Full Time Data Transformation Specialist, you need strong analytical skills, proficiency in data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools (such as Informatica, Talend, or Apache NiFi), SQL, and cloud data platforms is typically required, along with certifications in data management or analytics. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These competencies ensure accurate, efficient data integration and enable organizations to make data-driven decisions.

What are some common challenges faced in a Full Time Data Transformation role, and how can I prepare for them?

In a Full Time Data Transformation role, you may encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data quality throughout the transformation process. It’s important to develop strong problem-solving skills and familiarity with ETL tools, as well as a solid understanding of data governance and documentation practices. Collaborating effectively with data engineers, analysts, and business stakeholders is also crucial to ensure that transformed data meets organizational needs. Staying updated on best practices and being adaptable to evolving technologies will help you succeed and grow in this field.

What is a Full Time Data Transformation job?

A Full Time Data Transformation job involves converting data from one format, structure, or system to another to ensure it is accurate, consistent, and usable for analysis or business processes. Professionals in this role typically work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms. They collaborate with data engineers, analysts, and business stakeholders to design workflows that streamline data integration, migration, or cleansing. This role is crucial in organizations that rely on data-driven decision-making, as it ensures high-quality, accessible data across systems.
More about Full Time Data Transformation jobs
What cities are hiring for Full Time Data Transformation jobs? Cities with the most Full Time Data Transformation job openings:
What are the most commonly searched types of Data Transformation jobs? The most popular types of Data Transformation jobs are:
What job categories do people searching Full Time Data Transformation jobs look for? The top searched job categories for Full Time Data Transformation jobs are:
Full Time Data Transformation jobs near you
Infographic showing various Full Time Data Transformation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Engineer III

Data Engineer III

In-N-Out Burger

Irvine, CA • On-site

$134K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

In-N-Out Burger rating

8.7

Company rating: 8.7 out of 10

Based on 524 frontline employees who took The Breakroom Quiz

1st of 103 rated fast food restaurants

Job description

Name:
Data Engineer III
Location: Irvine, CA
Work Type:
Full-time
Department:
Information Technology
Description & Requirements
Come join our family at In-N-Out Burger!
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 in-office only. Ideal candidates can start work in Irvine, CA and are open to being based out of San Dimas, CA by 2027.
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.

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 Burger
In-N-Out Burger 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, Idaho, Washington, and Tennessee. In-N-Out Burger'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 Burger offers a competitive salary and comprehensive benefit package. We are an Equal Opportunity Employer by choice. Should there be a need, In-N-Out Burger will provide a reasonable accommodation to complete the interview process upon request.

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