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Microsoft Data Engineer Jobs in California (NOW HIRING)

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... This position will support existing Microsoft SQL Server environments while helping transition the ...

Bumble Bee Seafoods

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

PBK

Data Engineer

Berkeley, CA · On-site

$140K - $168K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data ...

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

You will work extensively with modern data technologies, including Microsoft Fabric, Azure ... Data Engineering & Pipelines * Build, optimize, and operate reliable batch and streaming data ...

PBK

Data Engineer

Berkeley, CA

$140K - $168K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data ...

PBK

Data Engineer

Los Angeles, CA

$123K - $148K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data ...

Fincons US

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Familiarity with Azure data technologies such as Azure Data Factory or Microsoft Fabric is ... Collaborate with engineering teams on data integrations and system performance * Troubleshoot data ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ... Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as ...

Fincons Group

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Fincons US is seeking a Data Engineer to join our growing engineering team. The role involves ... as Azure Data Factory or Microsoft Fabric • Bachelor's degree in Computer Science or related ...

Sakata Seed America, INC.

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 ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

Data Engineer Location: California - Remote Duration: 6+ Months Contract The Senior Data Engineer ... Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive ...

WinWire

Data Engineer

Santa Clara, CA · On-site

$210K - $230K/yr

... Engineering, or related field. Requires 5 years of experience with Azure Data Factory, SAP, and ... Microsoft Gold Standard : A 6x Microsoft Global Partner of the Year Winner/Finalist - reflecting ...

Methodic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Required : • 4+ years of experience in a data engineering role. • Strong proficiency in SQL and experience with one or more relational database systems (e.g., PostgreSQL, Microsoft SQL Server ...

San Manuel Casino

Data Engineer

Highland, CA

$113K - $136K/yr

The Data Engineer will partner with the Information Technology (IT) Data Services team to ensure ... High proficiency in Microsoft 365 including Word, Excel, and PowerPoint is required. * High ...

Swoon

Senior Data Engineer

Dublin, CA · On-site

$78/hr

Senior Data Engineer | Hybrid - Dublin, CA 📍 Location: Hybrid: Dublin, CA ⏳ Contract Duration ... Work with technologies including Snowflake, Microsoft Fabric, Spark, Palantir Foundry, and other ...

San Manuel Band of Mission Indians

Data Engineer

Highland, CA · On-site

$113K - $136K/yr

The Data Engineer will partner with the Information Technology (IT) Data Services team to ensure ... High proficiency in Microsoft 365 including Word, Excel, and PowerPoint is required. * High ...

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All JobsMicrosoft Data Engineer JobsMicrosoft Data Engineer Jobs in California

Microsoft Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do microsoft data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for microsoft 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 are the typical day-to-day responsibilities of a Microsoft Data Engineer?

As a Microsoft Data Engineer, your daily tasks usually involve designing, building, and managing data pipelines using Microsoft Azure and SQL Server technologies. You'll collaborate closely with data analysts, business stakeholders, and software engineers to ensure data is accessible, accurate, and optimized for reporting and analytics needs. Regular activities may include developing ETL processes, troubleshooting data issues, maintaining data security, and optimizing performance. This role often provides a dynamic work environment with opportunities to work on cross-functional projects and continually adopt new Microsoft data tools as they evolve.

What is a Microsoft Data Engineer job?

A Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. They work with large datasets, implement data pipelines, and optimize database performance to support business intelligence and analytics. Their role often involves ensuring data quality, security, and scalability while collaborating with data analysts and developers.

What are the key skills and qualifications needed to thrive in the Microsoft Data Engineer position, and why are they important?

Microsoft Data Engineers require a solid understanding of data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, communication skills, and attention to detail set top candidates apart. Mastery of these skills ensures the efficient design, development, and maintenance of scalable data solutions within complex business environments.

What are the most commonly searched types of Microsoft Data Engineer jobs in California? The most popular types of Microsoft Data Engineer jobs in California are:
What are popular job titles related to Microsoft Data Engineer jobs in California? For Microsoft Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Microsoft Data Engineer jobs in California look for? The top searched job categories for Microsoft Data Engineer jobs in California are:
What cities in California are hiring for Microsoft Data Engineer jobs? Cities in California with the most Microsoft Data Engineer job openings:
Microsoft Data Engineer jobs near you
Infographic showing various Microsoft Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Platform Engineer

Data Platform Engineer

Living Spaces - Corporate

La Mirada, CA

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

19th of 62 rated furniture retailers

Job description

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role combines strong database engineering experience with modern cloud data services, data integration, automation, analytics enablement, and AI-ready data management. This position will support existing Microsoft SQL Server environments while helping transition the organization toward scalable, secure, and governed data platforms using Microsoft Azure, Microsoft Fabric, and related technologies. The role will collaborate with infrastructure, application development, analytics, and business teams to improve data reliability, accessibility, performance, and overall platform maturity.Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Design, build, and support modern data platforms across SQL Server, Azure, Microsoft Fabric, and hybrid environments.

  • Support and modernize SQL Server environments through performance tuning, indexing, query optimization, backups, recovery, security, and availability.

  • Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Storage, Azure Key Vault, and related services.

  • Support Microsoft Fabric capabilities, including lakehouses, warehouses, pipelines, semantic models, notebooks, and Power BI-ready datasets.

  • Build and maintain data pipelines, ETL/ELT processes, integrations, and data movement patterns across internal systems, cloud platforms, vendor systems, and reporting tools.

  • Assist with data architecture decisions for relational databases, data warehouses, lakehouses, APIs, analytical models, and cloud-native data services.

  • Improve data quality through validation, reconciliation, monitoring, exception reporting, and documentation of trusted data sources.

  • Collaborate with application development teams on database design, data access patterns, schema changes, integration methods, and performance optimization.

  • Support analytics, reporting, automation, and AI initiatives by preparing clean, governed, and reliable enterprise data and designing secure data access patterns.

  • Automate and support data platform operations using T-SQL, PowerShell, Python, Azure CLI, REST APIs, and CI/CD practices for database objects, pipelines, scripts, and cloud configurations.

  • Monitor and troubleshoot data platforms, pipelines, and integrations for performance, reliability, cost, and security, performing root cause analysis and recommending long-term corrective actions.

  • Document data flows, platform architecture, operational procedures, support runbooks, and technical standards, and evaluate new Microsoft data platform capabilities for adoption.

Qualifications
Education/Experience: Bachelor's degree in computer science, Information Technology, Data Engineering, Information Systems, or related field preferred. 5+ years of experience in database engineering, data platform engineering, data engineering, cloud data services, or a related technical role. Strong experience with Microsoft SQL Server, T-SQL, query tuning, indexing, stored procedures, performance troubleshooting, and relational database design. Experience with Azure data services such as Azure SQL, Azure Data Factory, Azure Storage, Azure Synapse, Azure Key Vault, or similar technologies. Experience building or supporting data pipelines, integrations, ETL/ELT workflows, reporting datasets, or analytical data platforms. Experience with Microsoft Fabric, Power BI, lakehouse, warehouse, or semantic modeling concepts preferred. Experience supporting analytics, automation, AI-readiness, enterprise search, or governed data access initiatives preferred. Equivalent combination of education and experience will be considered.
Computer Skills: To perform this job successfully, an individual must be proficient with Microsoft Office programs such as Office 365 and Word. Microsoft SQL Server T-SQL Azure SQL Database / Azure SQL Managed Instance Azure Data Factory Microsoft Fabric Azure Storage / Data Lake concepts Azure Synapse Analytics Power BI semantic models Data modeling ETL/ELT design Data quality validation Python or PowerShell Git Azure DevOps or GitHub Actions CI/CD practices Infrastructure as code concepts API-based data integrations Monitoring and observability Database security and access control Cloud-native data architecture AI-ready data architecture preferred
Certificates and Licenses: Certifications are not required but are preferred. Relevant certifications may include: Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure AI Engineer Associate
Supervisory Responsibilities: This position will not have supervisory responsibilities.
Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $118,500.00 - $158,000.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.

Additional available benefits upon meeting eligibility requirements include:

  • Medical (full-time only)

  • Dental (full-time only)

  • Vision (full-time only)

  • 401(k) with Company match (full and part-time)

  • Vacation (full-time only or as otherwise required by applicable law)

  • Paid Sick Leave (full and part-time)

  • Flex or Health Spending Account (for eligible full-time only)

  • Employee Assistance Program (full and part-time)

  • Holiday pay (full-time only)

  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

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