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New Grad Data Engineer Jobs in Riverside, CA (NOW HIRING)

... new course, with already-globally-deployed solutions delivering real-world results and rapidly ... We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ...

... new course, with already-globally-deployed solutions delivering real-world results and rapidly ... We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive ...

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

... data management strategies, and implement those strategies throughout the engagement life cycle ... We break ground in new markets, push the technology envelope and deliver transformational solutions ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

... data management strategies, and implement those strategies throughout the engagement life cycle ... We break ground in new markets, push the technology envelope and deliver transformational solutions ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

Data Platform Engineer, Autonomy Analytics

Irvine, CA · On-site

$122K - $147K/yr

Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data ... Strong programming skills in Python and SQL (C++, Scala, or Java a plus). * Production experience ...

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New Grad Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do new grad data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for new grad data engineer in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What job categories do people searching New Grad Data Engineer jobs in Riverside, CA look for? The top searched job categories for New Grad Data Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for New Grad Data Engineer jobs? Cities near Riverside, CA with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $135,329 per year, or $65.1 per hour.
Business Intelligence Data Engineer

Business Intelligence Data Engineer

Golden State Foods

Irvine, CA • On-site

$54 - $70.25/hr

Full-time

Re-posted 5 days ago


Golden State Foods rating

6.3

Company rating: 6.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

281st of 395 rated food and drinks producers


Job description

Job Summary:
Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. The Data Engineer will be responsible for the full cycle of data warehouse development, including analyzing business requirements and designing ETL processes to present data for reporting consumption.
Responsibilities:
• Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
• Map source system data to data warehouse tables
• Develop and perform tests and validate all data flows and prepare all ETL/ELT processes according to business requirements and incorporate all business requirements into all design specifications.
• Define and capture metadata and rules associated with ETL processes
• Adapt ETL processes to accommodate changes in source systems and new business user requirements
• Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
• Provide support and maintenance on ETL processes and documentation
• Build partnerships across the application, business, and infrastructure teams
• Strive to continuously improve the software delivery processes and practices
• Champion company standards and best practices
• Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA)
• Other responsibilities and accountabilities may be assigned based on business and organization needs.
Qualifications:
Required:
• Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience.
• Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
• Strong proficiency in SQL
• Expert in ETL tools such Matillion, Informatica, SSIS, ODI etc. as and/or other data manipulation languages such as Python, SAS and R.
• Creative in finding new solutions and designing innovative methods, systems and processes
• Desire to create and build new predictive/optimization tools for structuring datasets
• Extensive experience Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.
Preferred:
• Experience with AWS such as Redshift, EC2, S3, Pythons
• Strong analytic skills for working with structured and/or unstructured datasets
• Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
• Experience with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.
Company:
Golden State Foods provides to the food service and retail industries. Founded in 1947, the company is headquartered in Irvine, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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