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Full Time Microsoft Data Engineer Jobs (NOW HIRING)

Cisive

Data Engineer

OR · On-site +1

$114.40K - $137.40K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member's contributions are valued and visible. As a Data Engineer, you'll take on meaningful responsibilities that ...

Shannon & Wilson, Inc.

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Job Type Full-time Description Shannon & Wilson is a leading geotechnical engineering firm ... We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ...

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... The ideal candidate is comfortable working across Fabric and the modern Microsoft data stack (e.g ...

SWITS DIGITAL Private Limited

Senior Data engineer

Bellevue, WA · On-site

$119.60K - $162.50K/yr

Design, build, and maintain scalable, reliable data pipelines using Azure and Microsoft data platforms. Act as the primary engineering interface for business, analytics, and partner stakeholders ...

Redwood Trust Inc

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

The ideal candidate brings deep hands-on experience with Microsoft data technologies, strong SQL ... Data Engineering & Process Development * Lead the design, development, and support of robust ETL ...

AceStack LLC

Robotics Data Engineer

Warren, MI · On-site

$107.30K - $128.80K/yr

Role: Robotics Data Engineer Location: Warren, MI FTE • 3+ years of experience in data ... with Microsoft data ecosystems (e.g., Power BI, Azure data services). • Exposure to self ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX · On-site

$104.80K - $125.90K/yr

Data Engineer Job Status: Full Time FLSA Status: Exempt Reports To: Enterprise Data Architecture ... Microsoft SQL (T-SQL) * 2+ years experience with Microsoft data engineering tools, such as Azure ...

Accenture

MDM Data Engineer

New Orleans, LA · Hybrid

You'll work handson with MDM platforms integrated with Microsoft Purview and Microsoft Fabric ... This position is based onsite in Parramatta on a full-time basis.

3B Staffing LLC

$106K - $127.20K/yr

Warren, MI/ Mountain View, CA Duration: Full Time • 3+ years of experience in data engineering ... with Microsoft data ecosystems (e.g., Power BI, Azure data services). • Exposure to self ...

SolGenie

Microsoft Fabric Data Engineer

Newark, NJ · On-site

$119.70K - $143.80K/yr

DATA ENGINEER (MICROSOFT FABRIC) Location: Newark, NJ Duration: 12 Months (Onsite) Visa: US Citizen OR GC (Due to the nature of job) Job Purpose We are looking for a Microsoft Fabric Data Engineer to ...

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Full Time Microsoft Data Engineer information

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

As of May 28, 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 are the key skills and qualifications needed to thrive as a Full Time Microsoft Data Engineer, and why are they important?

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 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 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:
Full Time Microsoft Data Engineer jobs near you
Data Engineer

Data Engineer

Cisive

On-site, Remote

$114.40K - $137.40K/yr

Full-time

Posted 14 days ago

Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

60th of 424 rated business services

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

Integrity First:We uphold the highest ethical standards in everything we do.

Innovate Fearlessly:We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

Win Together:We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

Customer Obsessed:We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

Stay One Step Ahead:We proactively seek knowledge that helps us-and our clients-stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member's contributions are valued and visible. As a Data Engineer, you'll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft's cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You'll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft's data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.

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