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Azure Data Engineer Intern Jobs in Valencia, CA (NOW HIRING)

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud ...

GEI Consultants

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 ...

Numentica LLC

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.

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 ...

Pwc

Data Engineer - Manager

Los Angeles, CA · On-site

... 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 ...

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$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 ...

BakerHostetler

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 ...

American Homes 4 Rent

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service ...

Amh

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service ...

AMH

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service ...

Total Performance Consulting

Data Engineer

Los Angeles, CA · Remote

$123K - $148K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

Pwc

Data Engineer - Senior Manager

Los Angeles, CA · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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All JobsAzure Data Engineer Intern JobsAzure Data Engineer Intern Jobs in Valencia, CA

Azure Data Engineer Intern information

See Valencia, CA salary details

$13

$25

$39

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

As of Aug 24, 2026, the average hourly pay for azure data engineer intern in Valencia, CA is $25.74, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $29.23 per hour, depending on experience, location, and employer.

What does an Azure Data Engineer Intern do?

An Azure Data Engineer Intern assists in designing, building, and maintaining data solutions using Microsoft Azure services. Their responsibilities typically include helping with data integration, transformation, and storage tasks, as well as supporting data pipelines and analytics platforms in the cloud. Interns often work alongside experienced data engineers to learn best practices in data modeling, ETL processes, and use of Azure tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. They may also contribute to troubleshooting data issues and optimizing performance to ensure reliable data delivery.

What types of projects and responsibilities can I expect as an Azure Data Engineer Intern?

As an Azure Data Engineer Intern, you can expect to work on projects involving data integration, transformation, and storage using Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Your daily tasks may include assisting with data pipeline development, supporting data migration initiatives, and collaborating with senior engineers to optimize data workflows. You'll likely participate in team meetings, work closely with data analysts and software developers, and contribute to troubleshooting and improving data solutions. This role offers hands-on experience with cloud-based data engineering tools and an opportunity to learn best practices in a collaborative, fast-paced environment.

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

To thrive as an Azure Data Engineer Intern, you need a solid understanding of data modeling, SQL, and basic cloud computing concepts, typically supported by coursework in computer science or data engineering. Familiarity with Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI or Python is highly beneficial. Strong analytical thinking, attention to detail, and effective communication enhance your ability to manage data pipelines and collaborate with team members. These skills and qualities are vital for building efficient data solutions and contributing to real-world business insights using cloud-based technologies.

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

AspectAzure Data Engineer InternData Engineer
Required CredentialsBasic knowledge of Azure, SQL, and data fundamentals; often pursuing related degreesAdvanced certifications like Azure Data Engineer Associate, relevant experience
Work EnvironmentInternship setting, learning-focused, Azure cloud platformFull-time professional role, managing data pipelines and architecture
Employer & Industry UsageTech companies, startups, or enterprises using Azure cloudOrganizations across industries with data infrastructure needs
Search & Comparison IntentEntry-level, learning about Azure data rolesProfessional data management and engineering tasks

The Azure Data Engineer Intern role is an entry-level position focused on learning Azure data tools and gaining practical experience. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining data pipelines and infrastructure. The internship provides foundational knowledge, while the Data Engineer role requires more advanced skills and certifications.

What are popular job titles related to Azure Data Engineer Intern jobs in Valencia, CA?

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

What job categories do people searching Azure Data Engineer Intern jobs in Valencia, CA look for?

The top searched job categories for Azure Data Engineer Intern jobs in Valencia, CA are:

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Cities near Valencia, CA with the most Azure Data Engineer Intern job openings:

Azure Data Engineer Intern jobs near you
Infographic showing various Azure Data Engineer Intern job openings in Valencia, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $53,536 per year, or $25.7 per hour.

Azure Data Engineer - Los Angeles CA - Hybrid

Los Angeles, CA • On-site

Tror AI for everyone
See more jobs at Tror AI for everyoneexternal

$123K - $148K/yr

Contractor

Re-posted 21 days ago

Job description

Job Title: Azure Data Engineer

Location: Los Angeles CA - Hybrid

Duration: Long Term Contract

Experience: 12 - 15 Years

Job Description:  

We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability, and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.

Technical Skills:

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
  • Proficiency in Azure Cloud Services.
  • Solid Understanding of Spark and PySpark for big data processing.
  • Experience in relational databases.
  • Knowledge on Databricks Asset Bundles and GitLab.

Preferred Experience:

  • Familiarity with Databricks Runtimes and advanced configurations.
  • Knowledge of streaming frameworks like Spark Streaming.
  • Experience in developing real-time data solutions.

Certifications:

Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

Key Responsibilities:

Data Pipeline Development:

  • Build and maintain scalable ETL/ELT pipelines using Databricks.
  • Leverage PySpark/Spark and SQL to transform and process large datasets.
  • Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.

Collaboration & Analysis:

  • Work Closely with multiple teams to prepare data for dashboard and BI Tools.
  • Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Performance & Optimization:

  • Optimize Databricks workloads for cost efficiency and performance.
  • Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security:

  • Implement and manage data security, access controls and governance standards using Unity Catalog.
  • Ensure compliance with organizational and regulatory data policies.

Deployment:

  • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
  • Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.