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Microsoft Data Engineer Jobs (NOW HIRING)

LaunchCode

Data Engineer

Saint Louis, MO · On-site

$51.74 - $60.65/hr

The Data Engineer is responsible for designing, building, and maintaining systems for collecting ... Strong understanding of Microsoft data management tools and Azure administration. * Strong ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

Data Engineer Department: Information Technology 500003 Employment Type: Full Time Location ... Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business ...

Mastech Digital

Microsoft Fabric Data Engineer

Dallas, TX · Remote

$70 - $90/hr

We are currently seeking a Microsoft Fabric Data Engineer for our client in the Consulting Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth.

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... This position will support existing Microsoft SQL Server environments while helping transition the ...

Collectiv

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 ...

Continental Services

Data Engineer

Sterling Heights, MI

$97K - $146K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ... Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business ...

Continental Services

Data Engineer

Sterling Heights, MI

$106K - $128K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ... Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business ...

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Microsoft Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do microsoft data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for 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 are the typical day-to-day responsibilities of a Microsoft Data Engineer?

As a Microsoft Data Engineer, your daily tasks usually involve designing, building, and managing data pipelines using Microsoft Azure and SQL Server technologies. You'll collaborate closely with data analysts, business stakeholders, and software engineers to ensure data is accessible, accurate, and optimized for reporting and analytics needs. Regular activities may include developing ETL processes, troubleshooting data issues, maintaining data security, and optimizing performance. This role often provides a dynamic work environment with opportunities to work on cross-functional projects and continually adopt new Microsoft data tools as they evolve.

What is a Microsoft Data Engineer job?

A Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. They work with large datasets, implement data pipelines, and optimize database performance to support business intelligence and analytics. Their role often involves ensuring data quality, security, and scalability while collaborating with data analysts and developers.

What are the key skills and qualifications needed to thrive in the Microsoft Data Engineer position, and why are they important?

Microsoft Data Engineers require a solid understanding of data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, communication skills, and attention to detail set top candidates apart. Mastery of these skills ensures the efficient design, development, and maintenance of scalable data solutions within complex business environments.

More about Microsoft Data Engineer jobs
What cities are hiring for Microsoft Data Engineer jobs? Cities with the most 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:
What states have the most Microsoft Data Engineer jobs? States with the most job openings for Microsoft Data Engineer jobs include:
What job categories do people searching Microsoft Data Engineer jobs look for? The top searched job categories for Microsoft Data Engineer jobs are:
Microsoft Data Engineer jobs near you
Infographic showing various Microsoft Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

LaunchCode

Saint Louis, MO • On-site

$51.74 - $60.65/hr

Full-time

Posted 12 days ago

Job description

Description
Pay: $51.74-60.65/hour + LaunchCode benefits
Location: Hybrid in St Charles, MO (3 days onsite, 2 remote)
Job type: Contract-to-hire (beginning with 6-month contract term)
Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.
Disclaimer: We are unable to provide work sponsorship for this role. We are unable to consider candidates for this role who have a current or future work sponsorship need (this includes those holding extended OPT Visas).
The Data Engineer is responsible for designing, building, and maintaining systems for collecting, storing, and analyzing data at scale from disparate sources. This role collaborates with stakeholders across the organization to ensure data environments meet business and user needs. Responsibilities include technical support, system upgrades, documentation, integration monitoring, and maintaining security configurations.
Responsibilities
  • Collaborate with stakeholders to understand reporting and data analysis objectives.
  • Design, implement, document, and maintain data lakes and related architectures.
  • Prepare the data environment for artificial intelligence (AI) adoption and usage.
  • Recommend solutions or alternative methods to meet business requirements.
  • Provide technical support to department users of data systems.
  • Develop and maintain system documentation including user manuals and technical guides.
  • Manage system upgrades and enhancements, including testing and documentation updates.
  • Troubleshoot data access and manipulation issues and provide timely solutions.
  • Develop and implement security policies and ensure compliance with governance standards.
  • Create algorithms and data validation methods to transform data into actionable insights.
  • Monitor system and integration performance and identify opportunities for improvement.
  • Participate in planning and implementation of system-related initiatives.
  • Collaborate with internal teams and external vendors regarding upgrades, fixes, and integrations.

Required Qualifications
  • Bachelor's degree in Computer Science or related field.
  • Minimum 3 years of experience working with Microsoft Data Products, including Azure Database and Power Platform.
  • Strong understanding of university or business data processes.
  • Experience with database design, star schema modeling, and data lake configuration.

Skills
  • Strong understanding of Microsoft data management tools and Azure administration.
  • Strong organizational, written, and verbal communication skills.
  • Ability to work effectively with diverse teams and stakeholders.
  • Knowledge of data structures, database tools, and technical documentation.
  • Ability to troubleshoot and resolve data-related issues efficiently.

Abilities
  • Ability to work effectively at a computer for extended periods.
  • Ability to sit for long durations and maintain regular attendance.
  • Ability to manage large-scale data projects with accuracy and attention to detail.
  • Preferred Qualifications
  • Experience with AI readiness, data automation, and cloud technologies.
  • Experience with SQL, Python, or other scripting languages.
  • Experience working in higher education or structured enterprise data environments.

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