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Azure Data Bricks Engineer Jobs in Menifee, CA (NOW HIRING)

Data Engineer II - Street Data

Redlands, CA · On-site

$115K - $138K/yr

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... Experience with cloud data platforms (such as AWS, Azure) and cloud-based ETL tools * Exposure to ...

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... Experience with cloud data platforms (such as AWS, Azure) and cloud-based ETL tools * Exposure to ...

Overview We are seeking a talented Data Engineer to join our team and play a key role in building ... Experience with cloud data platforms (such as AWS, Azure) and cloud-based ETL tools * Exposure to ...

We are seeking a talented Data Engineer to join our team and play a key role in building world-wide ... Experience with cloud data platforms (such as AWS, Azure) and cloud-based ETL tools * Exposure to ...

... Engineering, Information Systems, Mathematics, or Business (or equivalent). * Strong experience with cloud platforms and services , including: * Azure (e.g.; Azure AI Studio, Azure Data Services and ...

Responsible for design, development, and hands-on implementation of Microsoft Azure cloud solutions ... data storage, and AI solutions that reflect our clients' business needs, security, and service ...

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Azure Data Bricks Engineer information

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How much do azure data bricks engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for azure data bricks engineer in Menifee, CA is $61.79, according to ZipRecruiter salary data. Most workers in this role earn between $55.96 and $69.42 per hour, depending on experience, location, and employer.

What is an Azure Data Bricks engineer?

An Azure Databricks Engineer is an IT professional who specializes in designing, developing, and maintaining data analytics solutions using Azure Databricks, a cloud-based Apache Spark platform provided by Microsoft Azure. They build data pipelines, integrate data from various sources, and enable advanced analytics and machine learning tasks. Their responsibilities often include optimizing performance, ensuring data security, and collaborating with data scientists and business analysts to deliver insights.

How does an Azure Data Bricks engineer typically collaborate with data scientists and business analysts within a project team?

Azure Data Bricks Engineers often work closely with data scientists and business analysts to design, build, and optimize scalable data pipelines and analytics solutions. They enable seamless data access, integrate various data sources, and ensure efficient data processing, which allows data scientists to focus on modeling and analysis. Regular collaboration involves participating in sprint planning, code reviews, and troubleshooting sessions to ensure the data infrastructure aligns with business requirements. Clear communication and cross-functional teamwork are essential for successful project delivery.

What are the key skills and qualifications needed to thrive as an Azure Data Bricks engineer, and why are they important?

To thrive as an Azure Data Bricks Engineer, you need a strong background in data engineering, distributed computing, and proficiency with languages like Python, SQL, and Scala, usually supported by a relevant degree or certification. Familiarity with Azure Data Bricks, Azure Data Lake, Spark, and integration with other Azure services is essential, as is knowledge of cloud security and DevOps practices. Strong problem-solving skills, attention to detail, and effective communication enable successful collaboration with cross-functional teams and stakeholders. These skills are vital for building scalable, reliable data solutions that drive business insights and value in cloud-based environments.

What is the difference between Azure Data Bricks Engineer vs Data Engineer?

AspectAzure Data Bricks EngineerData Engineer
Required CredentialsAzure certifications, SQL, SparkGeneral data management, SQL, Python, cloud certifications
Work EnvironmentAzure cloud platform, Data Bricks environmentVarious cloud platforms or on-premises data systems
Employer & Industry UsageTech, finance, healthcare using Azure cloudBroad industry, including tech, finance, retail
Common Search & ComparisonFocus on Azure Data Bricks-specific skillsBroader data pipeline and database management skills

Azure Data Bricks Engineers specialize in building data solutions on the Azure platform using Data Bricks, while Data Engineers have a broader role managing data pipelines across various platforms. Both roles require SQL and cloud knowledge, but Azure Data Bricks Engineers focus more on Spark and Azure-specific tools.

What are popular job titles related to Azure Data Bricks Engineer jobs in Menifee, CA?

For Azure Data Bricks Engineer jobs in Menifee, CA, the most frequently searched job titles are:

What cities near Menifee, CA are hiring for Azure Data Bricks Engineer jobs?

Cities near Menifee, CA with the most Azure Data Bricks Engineer job openings:

数据工程师Software Developer(太仓)

Schaeffler Technologies AG & Co. KG

Nuevo, CA • On-site

$90 - $130/hr

Other

Posted 7 days ago


Job description

Understand data flows across Schaeffler Smart Equipment business processes, identifying key data sources, flow paths, and analytics scenarios.

Maintain, develop, and optimize dashboards and analytical reports in Microsoft Power BI to support business decision‑making and operational monitoring.

Communicate with business stakeholders and end users to clarify dashboard and reporting objectives, structures, metric definitions, and delivery priorities.

Collaborate with international development teams in an agile environment to drive requirement refinement, development planning, iterative delivery, and issue tracking.

Develop data models, cubes, tables, views, and related database objects in Microsoft SQL Server and Azure environments.

Build cross‑system data pipelines, develop MSSQL stored procedures, and automate data processing, report refreshes, and operational workflows.

Optimize automation processes and system data quality across multiple Schaeffler Smart Equipment business units to improve data usability and processing efficiency.

Document developed reports, database tasks, and test plans, apply UX design standards, and perform required testing to ensure delivery quality.

Hold a bachelor’s degree or above in science, engineering, or a related field, with over five years of experience in data warehouse development or business intelligence.

Demonstrate strong proficiency in Microsoft SQL and T‑SQL, with hands‑on experience developing stored procedures, functions, tables, views, and complex queries.

Demonstrate strong proficiency in Microsoft Power BI, including DAX and Power Query for data modeling, metric development, and report creation.

Apply knowledge of Microsoft Azure data services, with familiarity in Data Factory and cloud‑based data integration scenarios.

Understand agile development practices and contribute to user story writing, sprint planning, requirement refinement, and backlog management.

Understand Microsoft Integration Services, Azure integration capabilities, and ETL methodologies; experience with SAP data or SAP modules is preferred.

Demonstrate strong logical thinking, structured analysis, user insight, and data analysis capabilities, with fluent spoken English communication skills.

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