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Microsoft Azure Data Factory Developer Jobs (NOW HIRING)

Data Engineer

Norfolk, VA · On-site

$95K - $105K/yr

Zachary Piper Solutions is seeking a Data Engineer (Azure Data Factory) to support a government ... Microsoft Azure, Backend Data Engineering, Data Connectivity, Data Movement, SQL Databases, Data ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

Azure Data Architect

Santa Clara, CA · On-site

$74.75 - $96.25/hr

... Microsoft Data Platform and Azure Data Services • Create a data factory, orchestrate data ... Developer, SQL Query Analyzer, PowerBI, Visual Studio, TFS, Voltage Decryption Preferred : • ...

Senior Azure Data Engineer

Irving, TX · On-site

$101K - $138K/yr

... the Microsoft Azure data platform. The ideal candidate should have strong hands-on experience ... Build and optimize data solutions using Azure Data Factory, Azure Databricks, Azure SQL, and ...

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Programming Proficiency in Python and SQL.Strong Communication Skills. Skills required: Digital : Microsoft Azure Digital : Databricks Data Build Tool Azure Data Factory Desirable Skills: Not listed ...

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delivery, Devices, and Connected Solutions (DDCS), Microsoft Azure Fabric (Lakehouse, Data Factory ... Engineering Experience (5+ Years)

Senior Data Engineer

$108K - $147K/yr

... Factory to join our team. The ideal candidate will have a deep understanding of Microsoft Azure and ... DevOps GitHub / GitHub Actions

Build and support ETL processes, data integration workflows, and Azure Data Factory pipelines ... Microsoft Azure * Database Technologies: Azure SQL, Oracle Database, Azure Data Lake, Azure ...

Hiring for Azure Data Architect

$65 - $84.75/hr

The role involves designing modern cloud and hybrid solutions on Microsoft Azure, translating ... DevOps. • History of delivering data strategy implementations that are high in performance and ...

Azure Solution Architect - Data & AI

Manhattan, NY · On-site

$70 - $91.25/hr

Microsoft Fabric, Azure Synapse, Azure Databricks, Spark * Azure Data Factory, Azure Data Lake ... CI/CD, GitHub, DevOps and Agile * Strong presales, consulting and client-facing experience

$49.50 - $66.50/hr

We are seeking a highly experienced Senior Data Engineer / Data Architect with strong Microsoft ... Hands-on experience with Azure Data Factory. * Proficiency in Power BI for reporting and ...

C# ETL Azure Developer---NEED

Seattle, WA · On-site

$62.50 - $77.75/hr

C# ETL Azure Developer Location - Seattle, WA Duration - 6 months Developer will be expected to ... Experience with building code for the cloud, ideally with Microsoft Azure and Azure Data Factory ...

Showing results 41-60

Microsoft Azure Data Factory Developer information

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How much do microsoft azure data factory developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for microsoft azure data factory developer in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

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Infographic showing various Microsoft Azure Data Factory Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Solutions Engineer - Microsoft Data

Cottonwood Heights, UT • On-site

CompuNet, Inc.
Health Care and Social Assistance • 501 - 1,000 employees

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


CompuNet Clinical Laboratories rating

6.3

Company rating: 6.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Why join CompuNet?
CompuNet values its people more than any other asset-and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer.
We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more.
As a Microsoft Data Engineer at CompuNet, you will design, build, optimize, and modernize enterprise data platforms using Microsoft Azure Data Services, Microsoft Fabric, Power BI, SQL Server, and related technologies.
Role Expectations
Technical Expertise: Serve as a subject matter expert in Microsoft Data and Analytics technologies including Microsoft Fabric, Azure Data Factory, Synapse, Databricks, SQL and Power BI.
Consulting & Engagement: Deliver customer-focused consulting engagements and guide data modernization initiatives.
Solution Architecture: Architect secure, scalable, governed data platforms.
Communication & Leadership: Partner with business and technical stakeholders.
Core Duties and Responsibilities
  • Design and support modern Microsoft data platforms in Azure and Microsoft Fabric.
  • Build enterprise data warehouses, data lakes, and lakehouse solutions.
  • Develop ETL/ELT pipelines using Azure Data Factory, Fabric Data Factory, Synapse Pipelines, and Databricks.
  • Create scalable data models and analytics solutions.
  • Implement governance, lineage, security, and compliance controls.
  • Optimize performance, scalability, reliability, and cost.
  • Support Power BI, analytics, and AI initiatives.
  • Implement DevOps, Git, and CI/CD practices.

Key Expectations
Serve as a Microsoft Data subject matter expert, lead customer engagements, develop Statements of Work, and maintain relevant certifications.
Minimum Requirements
  • 5+ years designing enterprise data solutions.
  • 3+ years working with Azure Data Services.
  • Expertise in Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, SQL Server, and Power BI.
  • Advanced SQL and data modeling experience.
  • Experience with data warehouses, data lakes, lakehouses, ETL/ELT, governance, Python, Spark, and DataOps.
  • Experience implementing and optimizing a Medallion Architecture.
  • Strong consulting and stakeholder management skills.

Preferred Requirements
  • Bachelor's degree in related field.
  • Preferred Certifications: DP-203, DP-600, PL-300, DP-300, AI-102, AZ-305.
  • Hands-on experience with Snowflake and Databricks at scale.
  • Experience working with data architectures specifically for LLM use-cases.

Compensation and Benefits
We offer a full and comprehensive compensation package, including:
  • Medical, dental, vision, Employee Assistance Program, and Flexible Spending Accounts
  • Life and AD&D insurance, disability coverage, critical illness, and accident insurance
  • Paid Time Off (PTO) and paid holidays
  • Company-matching 401(k) and profit sharing
  • Competitive salary, with eligibility for variable compensation such as commission, bonuses, and profit sharing included

Who we are
CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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