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

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 ...

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 ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ... Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as ...

BayRock Labs

Principal Data Engineer

Milpitas, CA · On-site

They are seeking a highly skilled Senior Data Engineer / Data Architect with extensive experience in Azure and Databricks to build large-scale data platforms and deliver high-quality data products in ...

Info Way Solutions

Data Engineer

Sunnyvale, CA · On-site

$133K - $160K/yr

Info Way Solutions is seeking a Data Engineer to join their team. The role involves working with ... Azure) • Knowledge of Backend, Spring Company : Founded and incorporated in 2012 , Info Way ...

SupportFinity™

Data Engineer

Redwood City, CA · On-site

$120 - $170/hr

About Us GridCARE solves data center developers' most urgent bottleneck - immediate access to power ... Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.

Abbott

Principal Data Architect

Pleasanton, CA · On-site

The ideal candidate combines deep technical expertise in Databricks, AWS, Azure, modern data architectures, and data engineering practices with strong business acumen and leadership capabilities ...

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Showing results 21-40

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 Sep 5, 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 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.

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 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.

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 infrastructure across industries.

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 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $151,168 per year, or $72.7 per hour.

Urgent C2C Requirement : Lead Databricks Engineer : Milpitas, CA

Tech Mirrors

Milpitas, CA • On-site

$180 - $240/hr

Other

Posted 2 days ago

New

Job description

Lead Databricks Engineer

Location: Milpitas, CA – Onsite (Local Consultants Only)

Contract role

Phone and Video Call

Requirements

We are seeking a Lead Data Engineer with expertise in Databricks and Data Warehousing to drive data architecture, pipeline development, and optimization efforts. The ideal candidate will play a key role in designing scalable solutions, implementing best practices, and leading data initiatives within a dynamic and collaborative environment.

Key Responsibilities
  • Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, and Azure technologies.
  • Architect data warehousing solutions, ensuring seamless integration with cloud platforms and structured/unstructured data sources.
  • Collaborate with business stakeholders to understand data needs and develop high-performance analytical solutions.
  • Implement ETL/ELT processes leveraging cloud-based technologies such as Azure Data Factory, Snowflake, and Delta Lake.
  • Ensure data quality, governance, and security compliance while managing large datasets efficiently.
  • Drive performance tuning and optimization for data pipelines, ensuring efficiency across systems.
  • Work closely with cross-functional teams to support machine learning and advanced analytics initiatives.
  • Provide technical leadership and mentorship to junior data engineers, fostering a culture of innovation and continuous improvement.
  • Stay updated on emerging data technologies and recommend strategies to enhance existing architectures.
Qualifications
  • 8+ years of experience in data engineering, big data processing, and cloud-based solutions.
  • Strong expertise in Databricks, Spark (PySpark/SQL), and Delta Lake architecture.
  • Proven experience in designing and managing data warehouses using Snowflake, Azure Synapse, or equivalent technologies.
  • Deep understanding of data modeling, SQL, and performance optimization.
  • Hands-on experience with Azure Data Factory, Event Hubs, and cloud-based ETL processes.
  • Solid knowledge of real-time streaming technologies (Kafka, Azure Stream Analytics, or similar).
  • Familiarity with ML/AI data pipelines and feature engineering best practices.
  • Strong communication and collaboration skills, with experience working in fast-paced, enterprise environments.
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