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 is responsible for designing, building, and operating modern, scalable, and governed data platforms that enable enterprise analytics, reporting, and advanced data use cases. With 10+ years of hands on data engineering experience, this role acts as a senior individual contributor and technical leader, owning data architecture, pipelines, governance, and analytics ready data models across cloud platforms.

This role has a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but modeled, curated, and governed for high quality business intelligence and analytical consumption. You will work extensively with Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse technologies.

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 hr@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.

Data Engineer

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