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Azure Data Bricks Engineer Jobs in Westminster, CA

Tata Consultancy Service Limited

Tower Lead

Irvine, CA · On-site

$120K - $160K/yr

Tower Lead Must Have Technical/Functional Skills Data Bricks , EBT ,Airflow , Asset Management exp ... Azure, AWS, Data Governance, Data Engineering, and Modern Data Platforms. The role requires ...

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 ... Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ...

Dlapiper

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 ...

Saransh Inc

Azure Engineer - Full Time

Aliso Viejo, CA · On-site

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 ...

LERETA, LLC

Senior Data Engineer

Pomona, CA

$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 ...

Lereta

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 ...

Paul Hastings

Senior Data Engineer

Los Angeles, CA · On-site

$194K/yr

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 ...

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All JobsAzure Data Bricks Engineer JobsAzure Data Bricks Engineer Jobs in Westminster, CA

Azure Data Bricks Engineer information

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

As of Aug 27, 2026, the average hourly pay for azure data bricks engineer in Westminster, CA is $60.20, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $67.64 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 Westminster, CA?

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

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

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

Azure Data Bricks Engineer jobs near you

Azure Data Engineer

West Advanced Technologies (WATI)

Downey, CA • On-site

$117K - $140K/yr

Full-time

Re-posted 26 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.

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