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Junior Data Analytics Engineer Jobs in Riverside, CA

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

This role places a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but also thoughtfully modeled, curated, and governed to support high-quality ...

twenty80.io

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

Perform root cause analysis on data issues and implement corrective and preventive solutions ... Mentor junior engineers (Level I/II) as applicable * Communicate technical concepts clearly to ...

Turtle Rock Studios

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

You'll be at the intersection of engineering, analytics, and strategy. Working hands-on at all layers of the stack to turn player data into insights that shape the direction of our games and business.

Corvel

Data Analyst III

Irvine, CA · Hybrid

Helps guide junior team members * Cross collaboration with other technical and non-technical ... Intermediate to advanced proficiency with one or more programming languages required, such as R ...

CorVel Career Site

Data Analyst III

Irvine, CA · Hybrid

Helps guide junior team members * Cross collaboration with other technical and non-technical ... Intermediate to advanced proficiency with one or more programming languages required, such as R ...

Genesis10

Professional Consultant - Remote

Irvine, CA · On-site

$40 - $42/hr

Define analytics and AI strategy for assigned problem areas, ensuring scalability, robustness ... Drive design decisions across data ingestion, feature engineering, model selection, evaluation ...

Corvel

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

Helps guide junior team members * Cross collaboration with other technical and non-technical ... Intermediate to advanced proficiency with one or more programming languages required, such as R ...

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All JobsData Analytics Engineer JobsJunior Data Analytics Engineer JobsJunior Data Analytics Engineer Jobs in Riverside, CA

Junior Data Analytics Engineer information

See Riverside, CA salary details

$34.9K

$74.9K

$114.2K

How much do junior data analytics engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for junior data analytics engineer 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 a Junior Data Analytics Engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

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

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a Junior Data Analytics Engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in Riverside, CA? The most popular types of Data Analytics Engineer jobs in Riverside, CA are:
What are popular job titles related to Junior Data Analytics Engineer jobs in Riverside, CA? For Junior Data Analytics Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Junior Data Analytics Engineer jobs in Riverside, CA look for? The top searched job categories for Junior Data Analytics Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Junior Data Analytics Engineer jobs? Cities near Riverside, CA with the most Junior Data Analytics Engineer job openings:
Junior Data Analytics Engineer jobs near you
Infographic showing various Junior Data Analytics Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $74,906 per year, or $36 per hour.
Data Engineer

Data Engineer

Commercial Bank of California

Irvine, CA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Data Engineer

Location: Irvine, CA
Job Type: Full-Time | Exempt | Hybrid Eligible
Salary Range: $150,000 – $170,000 per year

About Commercial Bank of California

Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.

We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.

As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking—one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that’s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.

Job Summary

The Data Engineer will join our Enterprise Technology Services team to lead the design, development, and optimization of modern, scalable data platforms that power enterprise analytics and business intelligence. This role is ideal for a hands-on technical leader who thrives in building robust, governed data environments and enabling advanced, data-driven decision making.

With over 10 years of data engineering experience, this position serves as a senior individual contributor, owning end-to-end data architecture—from ingestion and transformation to modeling and governance. You will play a critical role in shaping data platforms that are reliable, scalable, and analytics-ready across cloud ecosystems.

This role places a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but also thoughtfully modeled, curated, and governed to support high-quality business intelligence and advanced analytics.

You will work extensively with modern data technologies, including Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse architectures, helping to build a trusted data foundation that enables consistent, actionable insights across the organization.

Essential Duties and Responsibilities

Data Platform & Architecture

  • Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
  • Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.
  • Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.

Data Engineering & Pipelines

  • Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.
  • Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.
  • Ensure pipelines are resilient, performant, and cost‑efficient in production environments.

Analytics Engineering & Data Modeling

  • Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.
  • Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.
  • Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.

Governance, Security & Unity Catalog

  • Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.
  • Enforce best practices for data security, role‑based access, and data classification across platforms.
  • Ensure compliance with enterprise data governance and regulatory requirements.

DevOps, CI/CD & Reliability

  • Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.
  • Apply best practices for version control, automated testing, environment promotion, and deployment.
  • Monitor production data systems to ensure high availability and operational stability.
  • Experience in databricks asset bundles (DAB) is preferred

Cross‑Platform & Modern Analytics Experience

  • Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.
  • Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.

Minimum Qualifications

  • 10+ years of experience in data engineering, analytics engineering, or data platform development.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).
  • Deep hands‑on experience with:
    • Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)
    • Azure Databricks, including Unity Catalog
    • Data modeling for analytics and BI
    • Azure DevOps (CI/CD, Git, automated deployments)
    • Business Intelligence platforms, especially Power BI
  • Advanced proficiency in SQL and strong experience with Python / Spark‑based development.
  • Proven ability to deliver analytics‑ready, production‑grade data solutions.

Preferred Qualifications

  • Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.
  • Background in financial services or regulated enterprise environments.
  • Experience supporting self‑service analytics and governed data democratization.
  • Snowflake experience considered a strong plus.
  • Familiarity with data quality, metadata management, and lineage tooling.
  • Microsoft certifications such as:
  • Azure Data Engineer Associate (DP‑203)
  • Microsoft Fabric Analytics Engineer (preferred)

Benefits & Perks

  • Competitive employer contribution to medical, dental and vision coverage
  • 401k plan with employer match
  • Flexible Spending Accounts (FSA) and Dependent Care Accounts
  • Employee Assistance Program (EAP)
  • Employer provided Calm subscription
  • Employer provided mental health benefits through Teladoc
  • Life, AD&D and disability insurance
  • Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
  • Online discount program
  • Tuition Reimbursement Program

Join Our Team!

  • Submit your resume to Apply to Your Position Here

Equal Employment Opportunity & Accommodations

Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.

We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.

Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at hrrecruiting@cbcal.com with the nature of your request and your contact information.

Recruitment Policy

Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.

We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.

Applicants must be legally authorized to work in the United States at the time of hire. This position is not eligible for employment sponsorship.

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