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Azure Data Engineer Jobs in Milpitas, CA (NOW HIRING)

Dlapiper

Data Engineer

Palo Alto, CA · On-site

$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 ...

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Azure Data Factory (ADF) * Azure Data Lake Storage (ADLS Gen2) * Azure Synapse Analytics * Azure Key Vault * Azure DevOps Data Engineering * Data Warehousing * Data Modeling * ETL/ELT Development

Apex Systems

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

Role Overview We are seeking a Data Engineer with experience in Databricks on Microsoft Azure to join a team responsible for modernizing enterprise data platforms. The primary responsibility of this ...

Qcells

Lead Data Engineer

Santa Clara, CA

$160K - $220K/yr

Description POSITON DESCRIPTION We are seeking a Lead Data Engineer to architect, build, and lead ... This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure ...

Qcells

Lead Data Engineer

Santa Clara, CA · On-site

Description POSITON DESCRIPTION We are seeking a Lead Data Engineer to architect, build, and lead ... This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure ...

Qcells

Lead Data Engineer

Santa Clara, CA · On-site

$160K - $220K/yr

Description POSITON DESCRIPTION We are seeking a Lead Data Engineer to architect, build, and lead ... This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure ...

Lam Research Corporation

Data Engineer 4

Fremont, CA · On-site

$119K - $261K/yr

Architect and build scalable, production-grade data pipelines and data products on Azure, Microsoft ... Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to ...

Compunnel

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Job Summary We are seeking an experienced Senior Data Engineer with strong Spark and streaming ... Preferred Qualifications • Experience with Azure data services. • Experience with Apache ...

WinWire

Data Engineer

Santa Clara, CA · On-site

$210K - $230K/yr

Apply the Architectural principles on Databricks for the Azure Cloud/Data Application Environments ... Engineer, Technical Lead, or related occupation. Requires travel/relocation to various ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Position: Data Engineer Location: Remote Duration: 6 month contract Note: Client is looking for ... Comfortable working with cloud platforms (e.g., AWS, GCP, Azure) and tools like BigQuery, Redshift ...

Forhyre

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Bayrock Labs

Principal Data Engineer

Milpitas, CA · On-site

$80 - $85/hr

ADLS Gen2, ADF, Synapse, Azure SQL, Key Vault, App Services * Cloud-native architecture design ... Python for automation, data engineering, and orchestration * PySpark for distributed data ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Milpitas, CA

Azure Data Engineer information

See Milpitas, CA salary details

$51.9K

$151.2K

$206.9K

How much do azure data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for azure data engineer in Milpitas, CA is $151,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.

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

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

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

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

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

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

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Milpitas, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $151,168 per year, or $72.7 per hour.

Azure Data Engineer - ADF, Data bricks, AAS and SQL

TestingXperts Inc. DBA Damcosoft

Pleasanton, CA • On-site

$127K - $153K/yr

Contractor

Re-posted 3 days ago

Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

W2 Only

Job title: Azure Data Engineer

Location: Pleasanton, California ( Work from office all 5 days in a week )

Mandatory Skills

Azure Databricks (ADB), Azure Data Factory (ADF), Azure Analysis Service (AAS), SQL

JD

Job Summary
We are seeking a skilled Azure Data Engineer with strong hands-on expertise in Azure Databricks (ADB), Azure Data Factory (ADF), and SQL. The ideal candidate will design and build scalable data pipelines and transformations on the Azure platform, with solid experience in Spark (PySpark), the Databricks Lakehouse, and ETL/ELT orchestration. Exposure to Delta Lake, data modeling, and CI/CD for data workloads is a plus.
 
Key Responsibilities
• Design, develop, and maintain data pipelines using Azure Databricks (PySpark/Spark SQL) and Delta Lake.
• Build and orchestrate ETL/ELT workflows in Azure Data Factory, including linked services, datasets, and triggers.
• Write and optimize complex SQL for data transformation, aggregation, and performance tuning.
• Collaborate with cross-functional teams to deliver reliable, high-quality data solutions.
• Implement data quality checks, monitoring, and follow engineering best practices.
• Work in an Agile environment and contribute to sprint planning and retrospectives.
 
Skill Requirements
• Databricks: Strong proficiency in Azure Databricks, PySpark, Spark SQL, and notebook development.
• Data Integration: Hands-on experience with Azure Data Factory (pipelines, mapping data flows, triggers).
• Database: Expert-level SQL (mandatory) with T-SQL/Spark SQL; query optimization and stored procedures.
• Storage & Format: Experience with Delta Lake, Parquet, and Azure Data Lake Storage (ADLS Gen2).
• Data Modeling: Understanding of dimensional modeling and data warehousing concepts.
• Version Control: Git/Azure Repos or similar tools.
• CI/CD: Familiarity with Azure DevOps pipelines for data deployments.
• Cloud: Working knowledge of the broader Azure ecosystem (Key Vault, Synapse is a plus).