Data Engineer
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Job Location:
Irvine, CA - USA
Yearly Salary:
$ 150000 - 170000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Data Engineer
Location:Irvine CA
Job Type: Full-Time Exempt Hybrid Eligible
Salary Range:$150000 $170000 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 bankingone that prioritizes trust collaboration and community impact. Join us and be part of a team thats 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 enterprisescale data platforms using Microsoft Fabric Azure Data Lake Azure Synapse and Azure Databricks.
- Design and implement lakehouse architectures and analyticsoptimized data layers to support BI selfservice 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 Azurenative services.
- Implement scalable ETL/ELT frameworks with strong data quality validation and observability.
- Ensure pipelines are resilient performant and costefficient in production environments.
Analytics Engineering & Data Modeling
- Design and maintain analyticsready 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 rolebased 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
CrossPlatform & Modern Analytics Experience
- Work across modern analytics ecosystems integrating Azurebased platforms with other cloud data technologies as needed.
- Leverage experience with Snowflake (architecture data modeling performance optimization) as a plus in hybrid or multiplatform analytics environments.
Minimum Qualifications
- 10 years of experience in data engineering analytics engineering or data platform development.
- Bachelors degree in Computer Science Engineering Information Systems or a related field (Masters preferred).
- Deep handson 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 / Sparkbased development.
- Proven ability to deliver analyticsready productiongrade 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 selfservice 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 (DP203)
- 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 toApply 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 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.
Required Experience:
IC
