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Freelance Azure Data Engineer Jobs in California

Data Engineer

Pasadena, CA ยท On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Rancho Cordova, CA ยท On-site

$122K - $146K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Rancho Cordova, CA ยท On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Rancho Cordova, CA ยท On-site

$124K - $148K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Pasadena, CA ยท On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Pasadena, CA ยท On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Senior Data Engineer

Emeryville, CA ยท On-site

$140/day

We're looking for an Azure Data Engineer to help build and enhance a modern cloud-based data platform. This role will focus on Azure Data Factory (ADF) as part of the existing ecosystem while also ...

Data Platform Engineer

La Mirada, CA ยท On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ...

Senior Databricks Data Engineer

Calabasas, CA ยท On-site

$120K - $145K/yr

Azure API Development * ETL Pipeline Development * DevOps & CI/CD * Apache Spark * SQL * Azure Data Services Key Responsibilities * Design and develop scalable batch and real-time data pipelines.

$180 - $240/hr

Design secure AI and data architectures on Microsoft Azure * Build architecture diagrams, reference architectures, and implementation roadmaps * Guide engineering teams through implementation

Data Platform Engineer

La Mirada, CA ยท On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ...

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

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 ... Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. * Strong SQL Knowledge

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

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Freelance Azure Data Engineer information

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

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

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

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

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

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

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

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

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

$117K - $140K/yr

Full-time

Re-posted 15 days ago


Job description

Job Title: (Azure Data Engineer) with Lakehouse Platform
Location: Downey, CA, 90242 :: Remote
Duration: 12 Months
Skills Required
Possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration - SQL and Relational Databases such as Oracle, SQL Server - Designing & developing SQL queries, stored procedures, views, debugging & tuning complex queries for optimal performance - UNIX shell scripts - Python - Azure Cloud - Azure Data Factory - Databricks - DataOps.
This classification must have a minimum of
seven (7) years of applying Enterprise Architecture principles.
At least five (5) years of that experience must be in a lead capacity. Q
5 years of experience in Azure Data Factory
5 years of experience in Databricks
5 years of experience in Managing Azure Resources
5 years of experience in automating Azure Data Resources using DataOps
5 years of experience in developing data models and data pipelines using Python
5 years of experience in Lakehouse Platform.
Education:
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.