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Entry Level Azure Data Engineer Jobs (NOW HIRING)

Atyeti Inc

Sr Azure Data Engineer/Architect

Princeton, NJ

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

Atyeti Inc

Sr Azure Data Engineer/Architect

Princeton, NJ · On-site

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Data Engineering|Databricks Technical Skills 2 Technology|Big Data - Data Processing|PySpark ... Required Skill and Experience Azure Databricks, Pyspark, SQL Preferred Skill and Experience Azure ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Fujitsu Managing Technical Consultant The Azure Data Lake Engineer is responsible for designing, building, and maintaining scalable data ingestion, storage, and processing solutions on Microsoft ...

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

... entry-level Data Engineering position-it's an opportunity to build a long-term career with a company investing heavily in its technology future. You'll gain hands-on experience with enterprise Azure ...

QTech US Inc

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, N ... Build, maintain, and enhance ETL/ELT workflows using Azure Data Factory (ADF). Process, transform ...

Medline

Sr. Azure Data Engineer

Northbrook, IL · On-site

$101K - $152K/yr

Relevant Work Experience * 5+years of experience in software engineering, with a focus on data ... Azure services. Additional * Data Modeling tools (e.g. Erwin, Visio) knowledge

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Entry Level Azure Data Engineer information

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How much do entry level azure data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for entry level azure data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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.
More about Entry Level Azure Data Engineer jobs
What cities are hiring for Entry Level Azure Data Engineer jobs? Cities with the most Entry Level Azure Data Engineer job openings:
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Entry Level Azure Data Engineer jobs near you
Infographic showing various Entry Level Azure Data Engineer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Azure Data Engineer - Los Angeles CA - Hybrid

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Posted 19 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.