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Data Platform 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 modernizing the company's enterprise data platforms across on-premises and cloud environments. This role ...

Quantix

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This ...

Integratedcooling

Data Platform Engineer

Santa Cruz, CA · On-site

$125 - $155/hr

As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Quantix, Inc.

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Data Platform Engineer to join a motivated start-up focused on delivering healthcare solutions, where the engineer will design and implement ideas while contributing to the ...

Monaco

Data Platform Engineer

San Francisco, CA · On-site

$200K - $400K/yr

The Role We're looking for a Data Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

Slope

Data Platform Engineer

San Francisco, CA · On-site

$150 - $210/hr

We're looking for a Data Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on the ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site

$125K - $155K/yr

As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Socket.dev

Data Platform Engineer

San Francisco, CA · On-site

$200 - $250/hr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to ...

Apple

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

Socket.dev

AI Data Platform Engineer

Cupertino, CA · On-site

$170 - $250/hr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

Apple

AI Data Platform Engineer

Cupertino, CA

$150K - $277K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

Multicoin

Data Platform Engineer

Los Angeles, CA · On-site

$170 - $300/hr

As a Data Platform Engineer, you will own key segments of the data flow from source to trusted dataset: ingestion, change data capture, streaming, lakehouse storage, orchestration, transformation ...

Hadrian Automation

Data Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

As a Data Platform Engineer, you will own key segments of the data flow from source to trusted dataset: ingestion, change data capture, streaming, lakehouse storage, orchestration, transformation ...

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in California

Data Platform Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data platform engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data platform 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 data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What are the most commonly searched types of Data Platform Engineer jobs in California?

The most popular types of Data Platform Engineer jobs in California are:

What are popular job titles related to Data Platform Engineer jobs in California?

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

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

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

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

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

Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Platform Engineer

La Mirada, CA

Living Spaces - Corporate

7.3

Company rating: 7.3 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

18th of 63 rated furniture retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Living Spaces - Corporateexternal

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

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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