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Data Engineer

F15ffb3d 133f 4471 92e8 C0b178a62add 19000101 000001 · Irvine, Irvine, CA, US, Irvine, CA · Hybrid · Active · $150,000–$170,000 / year · ADP Workforce Now Recruiting

Job facts

FieldValue
CompanyF15ffb3d 133f 4471 92e8 C0b178a62add 19000101 000001
TitleData Engineer
Normalized title-
Department / team-
LocationIrvine, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$150,000–$170,000 / year
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-04-02 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
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Work model jobsActive Hybrid postings.Open
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Linked records

CompanyF15ffb3d 133f 4471 92e8 C0b178a62add 19000101 000001
Sourcedcdc57c1-439c-489e-a3c6-0444cf4314db
ATS providerADP Workforce Now Recruiting

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 [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.

Full job record

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First Seen At2026-05-31 18:57:57Z
Last Seen At2026-06-06 12:39:07Z
Last Checked At2026-06-06 12:39:07Z
Last Changed At2026-06-06 12:39:07Z
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    "requisitionDescription": "<div><div><div><div><div><div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;' data-pasted=\"true\"><strong><span style='font-size:18px;font-family:\"Segoe UI\";'>Data Engineer</span></strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:14px;font-family:\"Segoe UI\";'>Location:</span></strong><span style='font-size:14px;font-family:\"Segoe UI\";'>&nbsp;Irvine, CA<br> <strong>Job Type:</strong> Full-Time | Exempt | Hybrid Eligible<br> <strong>Salary Range:</strong>&nbsp;$150,000 &ndash; $170,000 per year</span></p><p style='margin-top:12.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-family:\"Segoe UI\";'>About Commercial Bank of California</span></strong></p><p style='margin-top:12.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>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.</span></p><p style='margin-top:12.0pt;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>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.</span></p><p style='margin-top:12.0pt;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>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&mdash;one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that&rsquo;s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.&nbsp;</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-family:\"Segoe UI\";'>Job Summary</span></strong></p><div style=\"font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;\" data-pasted=\"true\"><p>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.</p><p>With over 10 years of data engineering experience, this position serves as a senior individual contributor, owning end-to-end data architecture&mdash;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.</p><p>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.</p><p>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.</p></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-family:\"Segoe UI\";'>Essential Duties and Responsibilities</span></strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>Data Platform &amp; Architecture</span></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>Data Engineering &amp; Pipelines</span></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Ensure pipelines are resilient, performant, and cost‑efficient in production environments.</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>Analytics Engineering &amp; Data Modeling</span></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>Governance, Security &amp; Unity Catalog</span></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Enforce best practices for data security, role‑based access, and data classification across platforms.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Ensure compliance with enterprise data governance and regulatory requirements.</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>DevOps, CI/CD &amp; Reliability</span></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Apply best practices for version control, automated testing, environment promotion, and deployment.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Monitor production data systems to ensure high availability and operational stability.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Experience in databricks asset bundles (DAB) is preferred</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-size:13px;font-family:\"Segoe UI\";'>Cross‑Platform &amp; Modern Analytics Experience</span></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;line-height:normal;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-family:\"Segoe UI\";'>Minimum Qualifications</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">10+ years of experience in data engineering, analytics engineering, or data platform development.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field (Master&rsquo;s preferred).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Deep hands‑on experience with:&nbsp;</span><ul style=\"margin-bottom: 0in;list-style-type: circle;\"><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;line-height: 115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;line-height: 115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Azure Databricks, including Unity Catalog</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;line-height: 115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Data modeling for analytics and BI</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;line-height: 115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Azure DevOps (CI/CD, Git, automated deployments)</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;line-height: 115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Business Intelligence platforms, especially Power BI</span></li></ul></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Advanced proficiency in SQL and strong experience with Python / Spark‑based development.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Proven ability to deliver analytics‑ready, production‑grade data solutions.</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:18px;font-family:\"Segoe UI\";'>Preferred Qualifications</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:Aptos;font-size:13px;\">Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:Aptos;font-size:13px;\">Background in financial services or regulated enterprise environments.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:Aptos;font-size:13px;\">Experience supporting self‑service analytics and governed data democratization.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Snowflake experience considered a strong plus.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:Aptos;font-size:13px;\">Familiarity with data quality, metadata management, and lineage tooling.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:Aptos;font-size:13px;\">Microsoft certifications such as:&nbsp;</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:;font-size:10.0pt;\">Azure Data Engineer Associate (DP‑203)</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style=\"font-family:Aptos;font-size:13px;\">Microsoft Fabric Analytics Engineer (preferred)</span></li></ul></div><p style='margin-top:12.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-family:\"Segoe UI\";'>Benefits &amp; Perks</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Competitive employer contribution to medical, dental and vision coverage</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>401k plan with employer match</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Flexible Spending Accounts (FSA) and Dependent Care Accounts</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Employee Assistance Program (EAP)</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Employer provided Calm subscription&nbsp;</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Employer provided mental health benefits through Teladoc</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Life, AD&amp;D and disability insurance</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Online discount program</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:13px;'>Tuition Reimbursement Program</span></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:15.0pt;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:18px;font-family:\"Segoe UI\";'>Join Our Team!</span></strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\"><span style='font-family:\"Times New Roman\";font-size:14px;'>Submit your resume to&nbsp;</span><a href=\"https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?lang=en_US&cid=f15ffb3d-133f-4471-92e8-c0b178a62add&ccId=19000101_000001\"><span style='font-family:\"Times New Roman\";font-size:14px;'>Apply to Your Position Here</span></a></li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong>Equal Employment Opportunity &amp; Accommodations</strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style=\"font-size:13px;line-height:115%;\">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.</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style=\"font-size:13px;line-height:115%;\">We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style=\"font-size:13px;line-height:115%;\">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 <strong>[email protected]</strong> with the nature of your request and your contact information.</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong>&nbsp;</strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong>Recruitment Policy</strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style=\"font-size:13px;line-height:115%;\">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.&nbsp;</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style=\"font-size:13px;line-height:115%;\">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.</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;text-align:justify;'><span style=\"font-size:13px;line-height:115%;\"><span data-teams=\"true\" data-pasted=\"true\">Applicants must be legally authorized to work in the United States at the time of hire. This position is not eligible for employment sponsorship.</span></span></p></div></div></div></div></div></div>\n",
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GET https://api.bluedoor.sh/job-postings/v1/jobs/725ea1fbcb0f0a267fcb1a8e0233e0a46f99bd4d?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/9854ea9c-0ee8-43bf-9be1-db19c2e3950bJSON
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