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Exempt Data Engineer Jobs in California (NOW HIRING)

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

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 ...

Cargomatic

Data Engineer

San Francisco, CA

$140K - $160K/yr

Senior Data Architect - Data Engineering Location: San Francisco, CA Reports To: VP of Engineering ... Exempt Employment Type: Full-Time Compensation: $140,000 - $160,000 annually (based on experience ...

Cargomatic

Data Engineer

San Francisco, CA · On-site

$140K - $160K/yr

Senior Data Architect - Data Engineering Location: San Francisco, CA Reports To: VP of Engineering ... Exempt Employment Type: Full-Time Compensation: $140,000 - $160,000 annually (based on experience ...

Cargomatic

Data Engineer

San Francisco, CA · On-site

$140K - $160K/yr

Senior Data Architect - Data Engineering Location: San Francisco, CA Reports To: VP of Engineering ... Exempt Employment Type: Full-Time Compensation: $140,000 - $160,000 annually (based on experience ...

Varda Space Industries

Data Engineer

El Segundo, CA · On-site

$130K - $160K/yr

About This Role Varda is seeking a Data Engineer to join our team. In this role, you will support ... This is a full-time, onsite, exempt position located in our El Segundo headquarters.

Capital One

Lead Data Engineer

San Francisco, CA

$134K - $162K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Name: Data Engineer III Location: Irvine, CA Work Type: Full-time Department: Information ... Work Schedule + Benefits: * Full-time, Exempt * Office Hours: Hours will vary but typically work ...

Capital One

Lead Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Work Schedule + Benefits: * Full-time, Exempt * Office Hours: Hours will vary but typically work ... Minimum 5+ years' experience in a Data Engineering role * Strong experience with enterprise ...

Varda Space Industries

Data Engineer

El Segundo, CA

$122K - $146K/yr

About This Role Varda is seeking a Data Engineer to join our team. In this role, you will support ... This is a full-time, onsite, exempt position located in our El Segundo headquarters.

Varda Space Industries

Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

About This Role Varda is seeking a Data Engineer to join our team. In this role, you will support ... This is a full-time, onsite, exempt position located in our El Segundo headquarters.

Capital One

Lead Data Engineer

San Francisco, CA

$120K - $159K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

State Bar of California

Lead Data Engineer

San Francisco, CA · On-site

$112K - $149K/yr

... Exempt / Union Represented This position allows for up to four days of remote work per week About ... Azure Data Engineer Associate; Power BI Data Analyst Associate; Azure Solutions Architect Expert ...

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All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in California

Exempt Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do exempt data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for exempt data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

Can I get a Data Engineer job with no experience?

Entry-level Data Engineer positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data processing tools such as Apache Spark or Hadoop. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and optimize data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively within organizations.

What are Exempt Data Engineers?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an Exempt Data Engineer, and why are they important?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within top-tier companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

What are some common challenges faced by Exempt Data Engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data engineers working in these settings may qualify for cap exemption if their employer qualifies under these categories, often requiring specialized skills in data management, cloud platforms, and programming languages. It is important to verify the employer's status to determine eligibility for H1B cap exemption.
What are the most commonly searched types of Data Engineer jobs in California? The most popular types of Data Engineer jobs in California are:
What cities in California are hiring for Exempt Data Engineer jobs? Cities in California with the most Exempt Data Engineer job openings:
Exempt Data Engineer jobs near you
Data Engineer

Data Engineer

Commercial Bank of California

Irvine, CA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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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