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Entry Level Azure Data Engineer Jobs in California

Data Engineer

San Mateo, CA

$130K - $156K/yr

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Deploy and manage cloud-based data infrastructure; leverage Azure DevOps for CI/CD of data ...

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

The AI/ML Data Engineer will be responsible for designing, building, and optimizing data pipelines ... Experience with Azure Data Factory, Azure Data Lake, Azure Blob Storage, and Azure Synapse ...

New

The AI/ML Data Engineer will be responsible for designing, building, and optimizing data pipelines ... Experience with Azure Data Factory, Azure Data Lake, Azure Blob Storage, and Azure Synapse ...

New

Azure Data Architect

Walnut Creek, CA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

Azure Data Architect

Los Angeles, CA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

Azure Data Architect

Sacramento, CA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

Cloud Data Platform Engineer

Cupertino, CA

$68.75 - $92/hr

Cloud Data Platform Engineer Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN ... Duration: 8 Months contract role As an Analytics platform engineer supporting Azure & AWS ...

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

Azure Data Architect

San Diego, CA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

Azure Data Architect

Mountain View, CA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

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 ...

Azure Data Architect

San Francisco, CA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

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Entry Level Azure Data Engineer information

What is an Entry Level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

Can I get a data engineer job with no experience?

Entry-level Azure Data Engineer positions typically require some knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills through online courses, certifications like Microsoft Certified: Azure Data Engineer Associate, and hands-on practice can improve chances of securing an entry-level role. Practical experience, such as internships or personal projects, also enhances employability in this field.

What is the salary of Azure data engineer entry level?

An entry-level Azure Data Engineer typically earns between $60,000 and $85,000 annually, depending on location, company size, and specific skills such as proficiency with Azure Data Factory, SQL, and cloud certifications. Salaries may increase with experience and additional certifications in cloud technologies.

Is Azure data engineer discontinued?

Azure Data Engineer is a current and in-demand role focused on designing and implementing data solutions using Microsoft Azure tools like Azure Data Factory, Azure Data Lake, and Azure SQL. Microsoft continues to invest in Azure data services, and the role remains relevant for professionals with skills in cloud data management and analytics.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

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

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

What engineer makes $500,000 a year?

While most entry-level Azure Data Engineers earn significantly less, senior data engineers with extensive experience, advanced skills in cloud platforms, and specialized certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or large organizations. Such roles often require years of experience, expertise in data architecture, and proficiency with tools like Azure Data Factory, Databricks, and SQL.
What are the most commonly searched types of Azure Data Engineer jobs in California? The most popular types of Azure Data Engineer jobs in California are:
What cities in California are hiring for Entry Level Azure Data Engineer jobs? Cities in California with the most Entry Level Azure Data Engineer job openings:

Azure Data Engineer - Los Angeles CA - Hybrid

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Posted 11 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.