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Fabric Data Engineer Jobs in California (NOW HIRING)

Lead the architecture and engineering of the Microsoft Fabric data lake-house, including OneLake, medallion architecture, Spark/SQL, and CI/CD. * Provide hands-on technical leadership, mentoring ...

Senior Data Engineer

San Diego, CA · On-site

$114K - $155K/yr

Lead the architecture and engineering of the Microsoft Fabric data lake-house, including OneLake, medallion architecture, Spark/SQL, and CI/CD. * Provide hands-on technical leadership, mentoring ...

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Lead Data Engineer

San Francisco, CA · 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 ...

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 · 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 · 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

Pleasanton, CA · On-site

$135K - $150K/yr

Microsoft Fabric Platform * Design, implement, and maintain enterprise data solutions using the ... Continuously improve data engineering processes, automation, and operational efficiency.

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

Microsoft Fabric Platform * Design, implement, and maintain enterprise data solutions using the ... Continuously improve data engineering processes, automation, and operational efficiency.

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

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 ...

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 · On-site

$122K - $130K/yr

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 · On-site

$110K - $125K/yr

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 ...

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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 Sep 7, 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 are popular job titles related to Fabric Data Engineer jobs in California?

For Fabric Data Engineer jobs in California, the most frequently searched job titles are:

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, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior Data Engineer

Numentica LLC

San Diego, CA

$40 - $65/hr

Full-time

Posted 20 days ago


Job description

We are seeking a hands-on Technical Lead to lead the development and operation of its Microsoft Fabric-based Platform. This role combines data platform architecture, hands-on engineering, technical leadership, and business partnership.

Key Responsibilities
  • Lead the architecture and engineering of the Microsoft Fabric data lake-house, including OneLake, medallion architecture, Spark/SQL, and CI/CD.
  • Provide hands-on technical leadership, mentoring, code reviews, and architectural guidance to data and analytics engineers.
  • Design and build scalable data pipelines integrating 50+ enterprise source systems.
  • Partner with business stakeholders across R&D, Commercial, Manufacturing, Supply Chain, and Corporate functions to translate business needs into data solutions.
  • Manage and technically oversee external implementation partners, ensuring engineering quality and adherence to standards.
  • Establish platform support models, SLAs, monitoring, data quality, incident management, and operational processes.
  • Define and track platform KPIs such as pipeline reliability, data freshness, query performance, onboarding velocity, and incident resolution.
  • Develop the semantic layer, including Power BI datasets, gold-layer views, and self-service analytics.
  • Implement data governance, security, classification, RBAC, sensitivity labeling, and audit requirements.
  • Establish engineering standards for development, testing, branching, documentation, and deployment.
Required Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 7–10 years of experience in data engineering, data platforms, or analytics infrastructure.
  • 2+ years of technical leadership experience with data/analytics engineers.
  • Strong hands-on experience with Microsoft Fabric; Databricks or Azure Synapse experience may be considered.
  • Strong proficiency in PySpark, Python, T-SQL, ETL/ELT, and modern data engineering practices.
  • Experience with medallion/layered data architecture at enterprise scale.
  • Experience with DevOps, CI/CD, Azure DevOps/GitHub, and infrastructure-as-code.
  • Knowledge of data governance and quality frameworks such as Microsoft Purview.
  • Experience managing technical delivery from external vendors.
Preferred
  • Biopharma, life sciences, or other regulated-industry experience, including GxP and validation requirements.
  • Experience with Veeva, LIMS, ELN/Benchling, CTMS, EDC, MasterControl, or HRIS integrations.
  • Experience with AI/ML workloads on a lake-house.
  • Microsoft Fabric Data Engineering certification.