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Azure Data Bricks Engineer Jobs in California (NOW HIRING)

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Design and integrate Azure data services, including Azure Databricks and Azure Data Lake. Build ... engineering experience using distributed computing technologies such as Spark, MapReduce, or ...

New

Azure

San Francisco, CA

$64.75 - $80.50/hr

Net/SQL with abilities to ramp up on USQL (programming language for Azure) Strong technical background with knowledge of BI foundational concepts such as relational database, datawarehouse, data mart.

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 · 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 ...

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 · 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 ...

Senior Databricks Data Engineer

Calabasas, CA · 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.

Data Solutions Engineer

Los Angeles, CA

$123K - $148K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

$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

New

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 Engineer

San Diego, CA · On-site

$121K - $146K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

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 ...

Data Engineer

Oakland, CA · On-site

$131K - $157K/yr

Job Summary We are seeking a Data Engineer with expertise in Azure Databricks to support the modernization of enterprise data platforms. The ideal candidate will have experience migrating Oracle PL ...

New

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

Data Engineer

Los Angeles, CA · 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

Showing results 21-40

Azure Data Bricks Engineer information

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 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.

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 job categories do people searching Azure Data Bricks Engineer jobs in California look for? The top searched job categories for Azure Data Bricks Engineer jobs in California are:
What cities in California are hiring for Azure Data Bricks Engineer jobs? Cities in California with the most Azure Data Bricks Engineer job openings:

Data Engineer

Compunnel

San Jose, CA • On-site

$134K - $161K/yr

Contractor

Posted 2 days ago

New


Job description

Job Summary
We are seeking an experienced Data Engineer to design, implement, and optimize cloud-based data solutions on Azure. This role combines hands-on data engineering with cloud data architecture, focusing on scalable data pipelines, modern data platforms, and distributed computing technologies. The ideal candidate will have strong expertise in Azure, Databricks, Spark, SQL, Python, and cloud-native data services, with the ability to create clear technical documentation and architecture diagrams.
Key Responsibilities
Design and implement scalable, secure cloud-based data pipelines, data warehouses, and data lakes.
Develop and optimize cloud-native data architectures aligned with business objectives.
Design and integrate Azure data services, including Azure Databricks and Azure Data Lake.
Build, maintain, and optimize Spark-based ETL pipelines using Databricks.
Develop robust data models to support enterprise analytics and reporting.
Create and maintain architecture documentation, including data flow diagrams, entity-relationship diagrams, and system architecture diagrams.
Produce technical documentation to support implementation, knowledge sharing, and governance.
Monitor and optimize data pipeline performance, scalability, and reliability.
Troubleshoot issues related to data pipelines, data quality, and data accessibility.
Implement best practices for data security, governance, and cloud architecture.
Collaborate with cross-functional teams to deliver scalable cloud-based data solutions.
Required Qualifications
Bachelor's degree in Computer Science or a related field.
5+ years of hands-on data engineering experience using distributed computing technologies such as Spark, MapReduce, or Databricks.
Proven experience designing and implementing cloud-based data solutions on Microsoft Azure.
Strong hands-on experience developing Spark ETL pipelines in Azure Databricks.
Deep understanding of data modeling concepts and techniques.
Strong proficiency with relational and non-relational database systems.
Advanced knowledge of Azure Databricks, Azure Data Lake, and cloud-native data services.
Experience with big data technologies, including Hadoop and Spark.
Strong scripting skills using Python and SQL.
Experience creating technical diagrams using tools such as Microsoft Visio, Lucidchart, or similar diagramming tools.
Strong understanding of data security, governance, and best practices.
Preferred Qualifications
Experience with AI Agents or AI-enabled data solutions.
Experience working with Gainsight.
Experience supporting Finance or Sales data domains.
Strong analytical, problem-solving, and troubleshooting skills.
Excellent communication and technical documentation skills.

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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