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

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

Work closely with engineering, data, and business teams to deliver enterprise data solutions * Conduct code reviews and ensure adherence to coding and design standards * Mentor junior engineers ...

Pwc

Data Engineer - Manager

Irvine, CA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... junior staff in data strategy and validation techniques Travel Requirements Up to 60% Job Posting ...

CWILL

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

... engineering agent development Level Junior to mid-level with high growth potential Location CA or NC: remote, or hybrid (per company requirements) Employment Type Full-time Language English required;

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Planet DDS

Data Engineer IV

Irvine, CA · On-site

$118K - $170K/yr

Define and enforce data and software engineering best practices, including version control, data quality standards, documentation, and testing frameworks. * Mentor and coach junior and mid-level data ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Provide technical guidance and mentorship to junior data scientists and analysts Basic ... Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in ...

Blueprint Hires

Junior Engineer

Irvine, CA · On-site

A multi-disciplinary architectural, engineering and construction firm is seeking a Junior Engineer ... Analyze data and prepare reports on building envelope performance * Assist in the design of ...

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

We're seeking a junior to mid-level Data Engineer to join our small but mighty team. This role is all about building and optimizing ETL workflows in Snowflake using Snowpark , managing parcel ...

Genesis10

Professional Consultant - Remote

Irvine, CA · On-site

$40 - $42/hr

Drive design decisions across data ingestion, feature engineering, model selection, evaluation ... People & Capability Leadership Lead, mentor, and coach senior and junior data scientists, building ...

Genesis10

Professional Consultant - Remote

Irvine, CA · On-site

$40 - $42/hr

Drive design decisions across data ingestion, feature engineering, model selection, evaluation ... People & Capability Leadership Lead, mentor, and coach senior and junior data scientists, building ...

Intertech, Inc.

3093 - Sr. Software Engineer

Irvine, CA · On-site

$129K - $171K/yr

... data engineering or ETL processes • Ability to mentor junior engineers or interns Company : Intertech is a Software Development Consulting Firm that provides full-time experts and single 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 ...

Allana Buick & Bers

Junior Engineer

Irvine, CA

$70K - $80K/yr

Analyze data and prepare reports on building envelope performance * Assist in the design of ... Engineering Track: Bachelor's degree in architecture, engineering, or building technology * Field ...

Allana Buick & Bers

Junior Engineer

Irvine, CA · On-site

$70K - $80K/yr

Analyze data and prepare reports on building envelope performance * Assist in the design of ... Engineering Track: Bachelor's degree in architecture, engineering, or building technology * Field ...

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Showing results 1-20

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 Jul 10, 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 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 the key skills and qualifications needed to thrive as a Junior Data Engineer, and why are they important?

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 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 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 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 July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $74,906 per year, or $36 per hour.

Data Engineer III

twenty80.io

Rancho Cucamonga, CA • Hybrid

$118K - $145K/yr

Full-time

Posted 21 days ago

Job description

Work Model: Hybrid (onsite 3–4 days per week, Southern California – commutable distance to 91730)

Minimum Experience: 6–8 years data engineering, data platform, or related software/data infrastructure experience

Role Summary

Our client, a healthcare organization with a strong emphasis on data-driven decision-making and regulatory compliance, is seeking a Data Engineer (Level II or III). This role is responsible for designing, building, and maintaining scalable data solutions that support enterprise data platforms and analytics needs.

The Data Engineer will lead the development of data pipelines, transformation logic, and data architecture while ensuring solutions are secure, efficient, and aligned with organizational standards. The role requires close collaboration with cross-functional teams to support business and member data needs, improve data quality, and enable advanced analytics capabilities.

This position is expected to serve as a technical leader, providing guidance on best practices, reviewing code, and mentoring junior engineers where applicable.

Key ResponsibilitiesData Engineering & Architecture
  • Design, develop, and implement scalable and reliable data solutions based on business requirements
  • Build and maintain data pipeline architectures aligned with security, performance, and scalability standards
  • Develop and support data transformation processes and data integration workflows
  • Contribute to data architecture design and maintain documentation such as data flow diagrams, process maps, and technical design documents
  • Identify trends in datasets and develop logic or algorithms to improve data usability and insights
Data Platforms & Cloud Engineering
  • Design and deploy cloud-based data solutions, particularly within Azure data services (e.g., Data Lake, Data Factory, Synapse, Azure SQL, Cosmos DB)
  • Build and optimize large-scale data warehouses and data pipelines
  • Work with relational and non-relational databases (e.g., SQL Server, MongoDB or similar NoSQL platforms)
  • Integrate and manage data from multiple sources including APIs and external systems
Development & Automation
  • Develop complex scripts, functions, and services supporting data engineering and data services teams
  • Work with programming and scripting languages such as Python, Java, C#, SQL, JSON, and XML
  • Implement DevOps practices and CI/CD pipelines using tools such as Azure DevOps, GitHub, or GitLab
  • Automate manual processes and improve data delivery and infrastructure efficiency
Data Quality, Governance & Support
  • Perform root cause analysis on data issues and implement corrective and preventive solutions
  • Ensure data solutions meet privacy, compliance, and performance requirements (especially in healthcare context)
  • Support data mapping, data quality improvement, and system integration efforts
  • Apply applicable data privacy standards and regulatory considerations
Collaboration & Leadership
  • Work closely with engineering, data, and business teams to deliver enterprise data solutions
  • Conduct code reviews and ensure adherence to coding and design standards
  • Mentor junior engineers (Level I/II) as applicable
  • Communicate technical concepts clearly to stakeholders and management
  • Serve as a subject matter expert on key data initiatives and projects
Required Qualifications
  • 6–8 years of experience in data engineering, data platforms, or related software engineering roles
  • Strong experience designing and building scalable data pipelines and data warehouse solutions
  • 4–8 years of experience working with relational databases (e.g., SQL Server) and data modeling
  • Strong programming skills in at least one of the following: Python, Java, or C# (plus SQL required)
  • Experience with cloud data platforms, particularly Azure (Data Lake, Data Factory, Synapse, Cosmos DB or similar)
  • Experience with CI/CD pipelines and source control tools (GitHub, GitLab, or Azure DevOps)
  • Strong understanding of SDLC methodologies (Agile, Scrum, Kanban, Waterfall)
  • Experience working with APIs, data ingestion, and integration workflows
  • Strong analytical, debugging, and root cause analysis skills
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
Preferred Qualifications
  • Experience with healthcare data environments or regulated industries
  • Familiarity with HL7 / FHIR standards
  • Experience with stream processing or messaging systems
  • Experience with big data tools and distributed systems
  • Experience with ERD design and data modeling tools (e.g., Visio or similar)
Compensation & Work Model
  • Full-time, direct hire position
  • Hybrid schedule with onsite work required 3–4 days per week (Southern California, near 91730)
  • Role includes technical leadership responsibilities, including mentoring and code review
  • Must be authorized to work in the United States (no sponsorship available)