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Junior Data Engineering Jobs in Riverside, CA (NOW HIRING)

Cotality

Principal, AI Engineering

Irvine, CA · On-site

Familiarity with Data Engineering technologies like Dataflow (Apache BEAM), DataProc (Apache Spark ... Mentor and coach junior engineering team members to foster professional growth. Job Qualifications:

Yum

Sr. Data Quality Engineering Analyst

Irvine, CA · On-site

... results of junior team members and be able to guide them with validation approach • Able to ... data engineers to embed quality checks directly into pipelines • Knowledge on developing and ...

1 point system

Data Analyst

Irvine, CA · On-site

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives ... This role is focused on analytics and quantitative reasoning , not engineering. The ideal candidate ...

Intertech, Inc

3093 - Sr. Software Engineer

Irvine, CA · On-site

$150 - $200/hr

Exposure to data engineering or ETL processes * Ability to mentor junior engineers or interns What We're Looking For * A well-rounded engineer who can contribute to both software development and ...

VSolvit

JUNIOR FULL STACK DEVELOPER

Norco, CA · On-site

$25 - $41/hr

... data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a ...

Level Crane Systems

Junior Engineer/ Detailer

Irvine, CA

$24 - $30/hr

The ideal candidate will translate both engineering concepts and real-world field conditions into ... Support the development of product selection documentation and dimensional data sheets used by the ...

Pwc

US Tech - AI Engineering Senior Associate

Irvine, CA · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... guide junior associates in their tasks - Uphold rigorous standards of quality and technical ...

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Showing results 21-40

All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Riverside, CA

Junior Data Engineering information

See Riverside, CA salary details

$34.9K

$74.9K

$114.2K

How much do junior data engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior data engineering in Riverside, CA is $74,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $83,500.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are popular job titles related to Junior Data Engineering jobs in Riverside, CA?

For Junior Data Engineering jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Riverside, CA look for?

The top searched job categories for Junior Data Engineering jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Junior Data Engineering jobs?

Cities near Riverside, CA with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Riverside, CA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $74,906 per year, or $36 per hour.

Senior Data Quality Engineering Analyst

Jobtailor

Irvine, CA • On-site

$120 - $150/hr

Other

Posted 3 days ago

New

Job description

Responsibilities
  • Able to understand complex business process, technology landscape, related requirements and attend daily stand‑up meetings to focus on key focus areas of validation.
  • Able to independently drive validation needs by creating comprehensive and well‑structured test plan, test scenario, test case, setting up test environment, working with business analyst and developer to understand requirements and architecture, reviewing test results of junior team members and guiding them with validation approach.
  • Able to coordinate with key onsite and offshore counterparts to complete validation and certification activities within agreed upon project timeline.
  • Able to identify, call out and socialize project risks so stakeholders can take informed decisions.
  • Designing and implementing a comprehensive data quality framework involving building of automated validation framework across both batch and real‑time pipelines, enforcing core quality dimensions – completeness, accuracy, consistency, and timeliness – through checks like schema validation, data drift and anomaly detection, referential integrity and business rule enforcement, while defining and tracking KPIs and SLAs to continuously monitor and uphold data health across the organization.
  • Embedding data quality controls within the pipelines involves integrating validation across the full data lifecycle, from ingestion through transformation to consumption, supporting both batch and streaming workloads.
  • Able to bring in hands‑on development experience in test scripts to automate test process. Should deliver applicable automated test solution to provide appropriate solution within a stipulated timeframe.
  • Track quality assurance metrics such as defect leakage, defect densities and open defect counts.
Requirements
  • Have a Bachelor of Science in Information Technology degree.
  • Have at least 7 years’ thorough hands‑on experience in Quality Assurance Process.
  • Have at least 5 years of experience with AWS services, JSON and XML files, Snowflake database, etc.
  • Have at least 3 years of test script development experience for automated validation of applications under test.
  • Highly preferred experience validating data quality within key domains such as Restaurant Front of House, Back of House, Customer, etc.
  • Maintain strong partnership with data engineers to embed quality checks directly into pipelines.
  • Knowledge of developing and maintaining automated testing frameworks for data pipelines and integrating with CI/CD processes for continuous validation.
  • Knowledge of enabling reusable validation patterns using tools like dbt, Great Expectations, or custom frameworks.
  • Passion to train and groom junior resources in the team and expand technical knowledge throughout the organization.
  • Passion to learn new technology and processes, curiosity to collaborate with subject matter experts.
Core Competencies

Demonstrates expertise in Quality Assurance processes, including the development of automated testing frameworks and data quality validation across various domains. Proficient in collaborating with cross‑functional teams to ensure data integrity and quality throughout the data lifecycle.

Tools & Technologies
  • AWS
  • Snowflake
  • Dbt
  • Great Expectations
  • CI/CD Processes
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