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Freelance Data Platform Engineer Jobs in California

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 · On-site

$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 ...

1872 Consulting

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Data Platform Engineer to architect next generation data processing applications and reporting systems, collaborating with Data Scientists and Analysts to build new systems and ...

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 ...

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 ...

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 ...

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 ...

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 ...

Codeforce 360

Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

About the Job- We are looking for an experienced Data Platform Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in SQL, Spark, Kafka, AI/ML ...

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 ...

Cogent Security

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking Founding- and Staff-level Engineers to design and implement the foundational pillars of their data platform, enabling the ingestion and normalization of enterprise data sources for ...

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Freelance Data Platform Engineer information

What is a freelance data platform engineer?

A Freelance Data Platform Engineer is a professional who designs, builds, and maintains data infrastructure and platforms on a project or contract basis, rather than as a full-time employee. They work with clients to develop scalable and efficient data solutions, such as data warehouses, ETL pipelines, and cloud-based data systems. Their responsibilities often include integrating various data sources, ensuring data quality, and optimizing data workflows to support analytics and business intelligence. Freelance Data Platform Engineers typically have expertise in databases, cloud services, programming, and data architecture. They offer flexibility and specialized skills to organizations that need temporary or project-based support.

What are the key skills and qualifications needed to thrive as a freelance data platform engineer?

To thrive as a Freelance Data Platform Engineer, you need strong skills in data architecture, ETL processes, and cloud platform management, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Spark, AWS, Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valuable. Effective client communication, problem-solving, and project management skills help you stand out, especially when coordinating independently with multiple stakeholders. These competencies ensure you can design scalable solutions, deliver projects efficiently, and build strong client relationships in a dynamic freelance environment.

How do freelance data platform engineers typically manage collaboration with clients and remote teams?

Freelance Data Platform Engineers often collaborate with clients and distributed teams using project management tools, version control systems, and regular virtual meetings. Clear communication is essential for aligning on data requirements, setting expectations, and providing progress updates. It's common to work asynchronously, so documenting work and maintaining transparent workflows help ensure smooth handoffs. Building trust and reliability is key to fostering long-term client relationships in a freelance setting.

What is the difference between Freelance Data Platform Engineer vs Data Engineer?

AspectFreelance Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure), technical skillsSimilar certifications, technical skills, often full-time roles
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, in-house or remote
Employer & Industry UsageFreelance platforms, consulting firms, startupsTech companies, finance, healthcare, large enterprises
Search & Comparison IntentYes, for freelance opportunities or project-based workYes, for full-time or contract roles

In summary, Freelance Data Platform Engineers typically work independently on short-term projects, requiring similar skills and certifications as Data Engineers but with a focus on flexibility and client-based work. Data Engineers often work full-time within organizations, focusing on building and maintaining data infrastructure.

How much do freelance data platform engineers make?

Freelance data platform engineers typically earn between $50 and $150 per hour, depending on experience, skills, and project complexity. Experienced professionals with expertise in cloud platforms, data pipelines, and tools like Apache Spark or Kafka tend to command higher rates. Annual earnings vary widely based on workload and client base, often ranging from $80,000 to over $200,000 for full-time equivalent work.

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 Freelance Data Platform Engineer jobs in California?

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

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

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

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

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

Freelance Data Platform Engineer jobs near you

Data Platform Engineer

Living Spaces - Corporate

La Mirada, CA • On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

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

  • Build and maintain data pipelines, ETL/ELT processes, and data integrations across various systems and platforms.

  • Monitor, troubleshoot, and optimize data platforms, pipelines, and integrations for performance, reliability, cost, and security.

Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

19th of 63 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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