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
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Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
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Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.
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Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.
Data Engineering & Pipelines
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Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.
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Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.
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Ensure pipelines are resilient, performant, and cost‑efficient in production environments.
Analytics Engineering & Data Modeling
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Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.
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Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.
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Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.
Governance, Security & Unity Catalog
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Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.
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Enforce best practices for data security, role‑based access, and data classification across platforms.
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Ensure compliance with enterprise data governance and regulatory requirements.
DevOps, CI/CD & Reliability
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Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.
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Apply best practices for version control, automated testing, environment promotion, and deployment.
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Monitor production data systems to ensure high availability and operational stability.
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Experience in databricks asset bundles (DAB) is preferred
Cross‑Platform & Modern Analytics Experience
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Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.
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Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.
Minimum Qualifications
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10+ years of experience in data engineering, analytics engineering, or data platform development.
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Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).
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Deep hands‑on experience with:
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Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)
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Azure Databricks, including Unity Catalog
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Data modeling for analytics and BI
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Azure DevOps (CI/CD, Git, automated deployments)
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Business Intelligence platforms, especially Power BI
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Advanced proficiency in SQL and strong experience with Python / Spark‑based development.
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Proven ability to deliver analytics‑ready, production‑grade data solutions.
Preferred Qualifications
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Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.
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Background in financial services or regulated enterprise environments.
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Experience supporting self‑service analytics and governed data democratization.
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Snowflake experience considered a strong plus.
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Familiarity with data quality, metadata management, and lineage tooling.
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Microsoft certifications such as:
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Azure Data Engineer Associate (DP‑203)
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Microsoft Fabric Analytics Engineer (preferred)
Benefits & Perks
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Competitive employer contribution to medical, dental and vision coverage
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401k plan with employer match
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Flexible Spending Accounts (FSA) and Dependent Care Accounts
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Employee Assistance Program (EAP)
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Employer provided Calm subscription
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Employer provided mental health benefits through Teladoc
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Life, AD&D and disability insurance
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Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
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Online discount program
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Tuition Reimbursement Program
Join Our Team!
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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 [email protected] 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.
