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Fabric Data Engineer Jobs in California (NOW HIRING)

$180 - $240/hr

Fabric Lakehouse * Data Engineering workloads * Azure Data Factory and/or Fabric Data Factory pipelines * Medallion architecture: Bronze, Silver, Gold * Power BI integration * Preferred ...

Lead Data Engineer

Santa Clara, CA ยท On-site

$160K - $220K/yr

Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud ... Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce ...

Lead Data Engineer

San Francisco, CA ยท On-site

$160K - $220K/yr

Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud ... Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce ...

Lead Data Engineer

Santa Clara, CA ยท On-site

$160K - $220K/yr

Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud ... Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce ...

Lead Data Engineer

San Francisco, CA ยท On-site

$160K - $220K/yr

Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud ... Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce ...

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the ... Develop and manage Fabric Lakehouse and Warehouse architectures to support enterprise analytics and ...

Data Engineer

San Diego, CA

$122K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the ... Develop and manage Fabric Lakehouse and Warehouse architectures to support enterprise analytics and ...

Data Engineer

San Diego, CA ยท On-site

$122K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the ... Develop and manage Fabric Lakehouse and Warehouse architectures to support enterprise analytics and ...

Data Engineer

Woodland, CA ยท On-site

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Microsoft Fabric, relational databases, APIs, file-based ingestion, and modern data engineering practices is highly valued. This position requires the ability to manage multiple ...

Data Engineer

Pasadena, CA ยท On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data ... Experience with Apache Airflow, Fabric, or Databricks. * Knowledge of data modeling and BI tools ...

AI Data Engineer

Santa Clara, CA

$134K - $161K/yr

Pods do not wait for the Fabric to be complete; they build the Fabric through execution, and this ... Strong data engineering with experiencebuilding forAI consumption: retrieval-ready, semantically ...

Data Engineer

Los Angeles, CA ยท On-site +1

$123K - $148K/yr

Data Engineer Location: California - Remote Duration: 6+ Months Contract The Senior Data Engineer ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Senior Data Engineer

Los Angeles, CA ยท Hybrid

$114K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

Senior Data Engineer

Costa Mesa, CA ยท Hybrid

$113K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

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Showing results 1-20

Fabric Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do fabric data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for fabric 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.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

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

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What job categories do people searching Fabric Data Engineer jobs in California look for?

The top searched job categories for Fabric Data Engineer jobs in California are:

What cities in California are hiring for Fabric Data Engineer jobs?

Cities in California with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

$12K/mo

Other

Re-posted 23 days ago


Job description

Description
The salary above reflects the entire range for this classification. Starting salary is dependent on experience and may be offered up to the midpoint of the salary range. Any starting salary above the midpoint requires authorization by the PRISM Executive Committee.
PRISM is a joint powers authority (JPA) that provides risk management and coverage programs for over 1,700 public entities throughout California. Our organization is member driven meaning that our public entity members have numerous opportunities available to participate in the governance of our JPA.
One of PRISM's greatest assets is its staff. PRISM employees are smart, creative, hard-working, and passionate individuals working in areas ranging from member services, risk control, claims administration, information technology, accounting, and risk pool administration. Working here requires energy, commitment, and teamwork. At the same time, we offer a great work environment built upon our Core Values of People, Families, Trust, Integrity, and Growth. We are looking for an individual who shares these values to join the PRISM team.
We are seeking a Senior Data Engineer to play a central role in our data platform modernization. This is a hands-on technical position focused on migrating our on-premises MS SQL Server environment and Qlik reporting layer into Microsoft Fabric (Fabric Lakehouse, Data Factory, and Data Warehouse) with Power BI as our reporting layer. You will design and build robust data pipelines, establish solid data modeling standards, and help set the engineering foundation that the team will scale on for years to come.
This role also carries mentorship responsibility - you will collaborate with others in the Data & Analytics team, conduct code reviews, and help grow the team's collective capability on the new platform.
Job Responsibilities
Migration & Platform Engineering
  • Contribute to the technical migration from MS SQL Server (on-prem) and Qlik to Microsoft Fabric and Power BI
  • Design and implement data pipelines using Fabric Data Factory (pipelines and dataflows) and Fabric Notebooks, leveraging Python and Spark SQL for complex transformations and business logic
  • Build and maintain Lakehouse architecture on OneLake, including medallion layer design (Bronze / Silver / Gold)
  • Develop and optimize data models in Fabric Data Warehouse and/or Fabric Lakehouse
  • Write performant transformation logic using Python, Spark SQL, and T-SQL

Data Modeling & Architecture
  • Design scalable, maintainable data models aligned to business and reporting needs
  • Establish and enforce naming conventions, schema standards, and documentation practices
  • Collaborate with analysts and Power BI developers to ensure the semantic layer is well-structured and performs at scale

DevOps & Engineering Excellence
  • Own and maintain CI/CD pipelines for data assets using Azure DevOps.
  • Implement version control practices, testing frameworks, and deployment automation for data pipelines
  • Design and manage data platform orchestration across pipelines, notebooks, and warehouse workloads - including scheduling, dependency management, alerting, and failure handling
  • Proactively identify and resolve performance bottlenecks across pipelines, notebooks, SQL code, and overall platform architecture
  • Participate in architecture discussions and contribute to platform roadmap decisions

Compliance & Data Governance
  • Ensure all data handling practices comply with regulatory requirements and organizational PII/PHI policies
  • Implement appropriate data masking, access controls, and audit logging within the platform
  • Partner with security and compliance teams to maintain data governance standards

Mentorship
  • Partner with and actively uplift team members who are growing their Fabric skills
  • Conduct code reviews with constructive, solutions-oriented feedback
  • Contribute to internal documentation, runbooks, and knowledge sharing
  • Approach technical challenges with a growth mindset by modeling curiosity, continuous learning, and a bias toward practical, solutions-focused problem solving

Requirements
We are seeking candidates who can fulfill this position through a hybrid work model consisting of mostly remote work and in-person work in our Folsom office several times throughout year.
Minimum Required Skills & Experience
  • Proven experience as a data engineer, with a strong track record in data pipeline development and data modeling
  • Strong proficiency in Python for data engineering tasks
  • Working knowledge of Spark SQL and distributed compute concepts
  • Deep experience with MS SQL Server and T-SQL
  • Understanding of CI/CD practices applied to data engineering (Azure DevOps)
  • Ability to communicate technical concepts clearly to non-technical stakeholders

Desirable Skills & Experience
  • Hands-on experience with Microsoft Fabric - specifically Lakehouse/OneLake, Data Factory, and Data Warehouse
  • Familiarity with Power BI semantic models and dataset design (Direct Lake)
  • Experience in a government or public sector environment
  • Experience working with compliance-regulated data and implementing appropriate controls for PII/PHI
  • Hands on experience with Microsoft Fabric and/or Microsoft certifications (DP-700 Fabric Data Engineer, DP-600 Fabric Analytics Engineer, DP-203 Data Engineer, or similar)

Physical Requirements
Physical requirements of this position typically include: reaching, grasping, talking, hearing, seeing, repetitive motions, exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently, and/or negligible amount of force constantly to move. Some travel may be required.