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Full Time Microsoft Data Engineer Jobs (NOW HIRING)

Microsoft Fabric Data Engineer

Athens, GA · On-site

$110K - $132K/yr

Data Engineer / Fabric Administrator The primary role of the Data Engineer / Fabric Administrator is to design, develop, and maintain modern data solutions within Microsoft Fabric, supporting the ...

Microsoft Fabric Data Engineer

Athens, GA · On-site

$110K - $132K/yr

Data Engineer / Fabric Administrator The primary role of the Data Engineer / Fabric Administrator is to design, develop, and maintain modern data solutions within Microsoft Fabric, supporting the ...

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

This position will support existing Microsoft SQL Server environments while helping transition the ... Dental (full-time only) * Vision (full-time only) * 401(k) with Company match (full and ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data ...

Senior Data Engineer

Seattle, WA · On-site

$120K - $163K/yr

The ideal candidate will have deep, hands-on expertise across the core Microsoft data platform ... Mentor junior and mid-level data engineers; conduct code reviews and enforce engineering best ...

Senior Data Engineer

Seattle, WA

$120K - $163K/yr

The ideal candidate will have deep, hands-on expertise across the core Microsoft data platform ... Mentor junior and mid-level data engineers; conduct code reviews and enforce engineering best ...

Enterprise Lead Data Engineer

Cedar Rapids, IA · On-site

$100K - $132K/yr

Microsoft Fabric and Medallion Architecture * Design, build, and maintain Microsoft Fabric ... Data Engineering and Integration * Design, develop, test, deploy, monitor, and support ETL and ELT ...

Data Engineer

Saint Charles, MO · On-site

$107K - $129K/yr

Data Engineer Division: Information Technology Evaluation Group: Staff FLSA Status: Exempt Reports ... Minimum of 3 years working with Microsoft Data Products, including Azure Database and Power ...

Data Engineer

Campus, IL · On-site

$111K - $134K/yr

Data Engineer Division: Information Technology Evaluation Group: Staff FLSA Status: Exempt Reports ... Minimum of 3 years working with Microsoft Data Products, including Azure Database and Power ...

Microsoft Fabric Data Engineer

Dallas, TX

$113K - $136K/yr

You'll Build the Engine Behind Client Revenue Most data engineers build internal tools. You'll build something that shows up directly in a client's boardroom. Our Microsoft Fabric platform is the ...

Showing results 21-40

Full Time Microsoft Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do full time microsoft data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time microsoft 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 a full time Microsoft data engineer?

A Full Time Microsoft Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and Azure Synapse Analytics. Their role involves constructing data pipelines, transforming raw data into usable insights, and ensuring data quality and security. They often collaborate with data scientists, analysts, and business stakeholders to deliver scalable and efficient data systems. Working full time means they are employed on a standard, ongoing basis rather than as a contractor or part-time worker.

What are the key skills and qualifications needed to thrive as a full time Microsoft data engineer?

To thrive as a Full Time Microsoft Data Engineer, you need strong expertise in data modeling, SQL, ETL processes, and a solid understanding of database concepts, often supported by a degree in computer science or a related field. Proficiency with Microsoft data tools such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Exceptional problem-solving, analytical thinking, and effective communication help you stand out in collaborating with cross-functional teams and translating business requirements into technical solutions. These skills are essential for building robust, scalable data systems that drive informed decision-making and business success.

What are some typical challenges faced by full time Microsoft data engineers when working on large-scale data migration projects?

Full Time Microsoft Data Engineers often encounter challenges such as ensuring data consistency and integrity during migrations, especially when moving large volumes of data from legacy systems to modern Microsoft platforms like Azure SQL or Synapse Analytics. Coordinating with cross-functional teams—including database administrators, business analysts, and IT security—is crucial to address compatibility issues and maintain security compliance. Additionally, managing downtime and minimizing disruptions to business operations requires careful planning, robust testing, and clear communication with stakeholders throughout the migration process.

What is the difference between Full Time Microsoft Data Engineer vs Full Time Data Analyst?

AspectFull Time Microsoft Data EngineerFull Time Data Analyst
Required SkillsSQL, Azure, ETL, Python, SparkExcel, SQL, Data Visualization, Business Intelligence tools
CertificationsMicrosoft Certified: Azure Data Engineer AssociateNone specific, often Tableau or Power BI certifications
Work EnvironmentCloud platforms, data pipelines, backend data systemsData reporting, visualization, business insights
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare

Full Time Microsoft Data Engineers focus on building and maintaining data pipelines using Microsoft Azure and related tools, while Full Time Data Analysts interpret data to provide business insights through visualization and reporting. Both roles require strong SQL skills but differ in technical depth and focus areas.

What cities are hiring for Full Time Microsoft Data Engineer jobs?

Cities with the most Full Time Microsoft Data Engineer job openings:

What are the most commonly searched types of Microsoft Data Engineer jobs?

The most popular types of Microsoft Data Engineer jobs are:

Microsoft Fabric Data Engineer

Derex Technologies, Inc.

Erie, PA • On-site

$110K - $133K/yr

Full-time

Posted 12 days ago


Job description

Company Description

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Description

Title: Microsoft Fabric Data Engineer

Location: PA (Day 1 Onsite)

Overview

The Microsoft Fabric Core Lead Engineer is responsible for leading the design, development, implementation, and support of enterprise-scale data and analytics solutions using Microsoft Fabric. The role provides technical leadership, drives architecture decisions, mentors engineering teams, and ensures successful delivery of scalable, secure, and high-performing data platforms.

 

Roles & Responsibilities

Technical Leadership

  • Lead the end-to-end implementation of Microsoft Fabric solutions across enterprise programs.
  • Define technical architecture, engineering standards, and best practices for Microsoft Fabric adoption.
  • Provide technical leadership to a team of data engineers and developers.
  • Review solution designs, code, and deployment strategies to ensure quality and scalability.

Microsoft Fabric Architecture

  • Design and implement enterprise data platforms using Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Data Engineering, and Power BI.
  • Architect scalable, cloud-native data solutions supporting analytics, AI, and business intelligence workloads.
  • Establish reusable design patterns and reference architectures.

Data Engineering & Integration

  • Design and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.
  • Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems.
  • Implement data transformation, cleansing, validation, and orchestration processes.
  • Optimize data ingestion strategies for performance and reliability.

Data Modeling & Analytics

  • Design dimensional models, Lakehouse architectures, and enterprise data warehouses.
  • Develop semantic models and datasets for Power BI reporting and self-service analytics.
  • Collaborate with business teams to translate analytical requirements into scalable data solutions.

Performance Optimization

  • Optimize Spark workloads, SQL Warehouse performance, and OneLake storage utilization.
  • Implement partitioning, indexing, caching, and workload optimization strategies.
  • Monitor platform performance and proactively resolve bottlenecks.

Security & Governance

  • Implement enterprise security using Microsoft Entra ID, RBAC, and Fabric workspace security.
  • Define governance policies for data quality, lineage, cataloging, auditing, and compliance.
  • Ensure adherence to enterprise security, privacy, and regulatory standards.

DevOps & Automation

  • Implement CI/CD pipelines using Azure DevOps or GitHub.
  • Automate deployment of Microsoft Fabric artifacts across Development, QA, UAT, and Production environments.
  • Manage source control, release management, and deployment automation.

AI & Advanced Analytics

  • Enable AI, Machine Learning, and Copilot capabilities within Microsoft Fabric.
  • Support Data Science workloads using Spark, notebooks, and ML models.
  • Collaborate with AI teams to operationalize predictive analytics and intelligent data solutions.

Production Support & Operations

  • Lead production deployments and post-production support activities.
  • Monitor platform health, troubleshoot incidents, and ensure SLA compliance.
  • Implement disaster recovery, backup, and business continuity strategies.

Stakeholder Management

  • Collaborate with enterprise architects, product owners, business stakeholders, and cross-functional teams.
  • Participate in architecture review boards and technical governance meetings.
  • Communicate technical solutions and project status to senior leadership.

Team Leadership & Mentoring

  • Mentor junior and senior engineers on Microsoft Fabric technologies and engineering best practices.
  • Conduct code reviews, design reviews, and technical knowledge-sharing sessions.
  • Drive continuous improvement initiatives and foster engineering excellence.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platform development.
  • 4+ years of hands-on experience with Microsoft Azure Data Platform technologies.
  • 2+ years of hands-on experience with Microsoft Fabric in enterprise implementations.
  • Strong expertise in SQL, PySpark, Python, and Spark optimization.
  • Experience with Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.
  • Experience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines.
  • Strong knowledge of dimensional data modeling, ETL/ELT architecture, and data governance.
  • Experience leading technical teams and delivering large-scale enterprise data modernization programs.

Preferred Skills

  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Microsoft Azure Data Engineer Associate (DP-203)
  • Experience with Databricks, Synapse Analytics, Azure AI Services, or Microsoft Purview.
  • Knowledge of Agile/Scrum delivery methodologies.
  • Strong communication, stakeholder management, and problem-solving skills.

Regards,

 

Manoj Goud

Derex Technologies INC

Contact : 973-834-5005 Ext 206

Additional Information

All your information will be kept confidential according to EEO guidelines.