ZipRecruiter

Log In

2

Full Time Microsoft Data Engineer Jobs (NOW HIRING)

Living Spaces

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 ...

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Ensure platform services comply with Microsoft engineering and security standards. Resource ... Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.

Landmark Properties

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 ...

New

Landmark Properties

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 ...

New

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 ...

Teknor Apex Company

Microsoft Fabric Data Engineer

$117K - $140K/yr

They are seeking a Microsoft Fabric Data Engineer to lead the design and implementation of enterprise data integration solutions, focusing on connecting various manufacturing systems within a ...

Teknor Apex

Microsoft Fabric Data Engineer

Pawtucket, RI

$111K - $133K/yr

... Microsoft Fabric Data Engineer with strong manufacturing industry expertise to lead the design and implementation of enterprise data integration solutions. You will architect and develop ...

Lantern

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics ...

Lindenwood University

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 ...

Lindenwood

Data Engineer

Campus, IL

$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 ...

Rethink

Data Engineer (Microsoft Fabric)

Chicago, IL · On-site +1

$118K - $141K/yr

About the Role We're seeking a highly skilled and motivated hands-on Data Engineer to design, build, and maintain our Microsoft Fabric Lakehouse as we migrate our Azure-Synapse enterprise data ...

previous pagenext page

Showing results 21-40

All JobsMicrosoft Data Engineer JobsFull Time Microsoft Data Engineer Jobs

Full Time Microsoft Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 17, 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:

Full Time Microsoft Data Engineer jobs near you

Sales Representative Data Analytics/ Microsoft

OSI Digital

Dallas, TX • On-site

$40K - $120K/yr

Full-time

Re-posted 19 days ago

Job description

Job Title: Data Analytics/ Microsoft Sales Representative
Employment: Full-time 
Location: Dallas, TX
OSI Digital is a global consulting firm with over three decades of experience helping organizations accelerate their digital transformation. As a trusted partner, we enable enterprises to reimagine what’s possible with their data, from building scalable cloud ecosystems to infusing AI into everyday decision-making, we deliver end-to-end solutions across modern data platforms, advanced analytics, AI/ML, and cloud enablement, helping businesses unlock agility, intelligence, and measurable growth.
As part of our growing Data Analytics Practice, we are seeking a seasoned Sales Representative who can build and expand our Microsoft stack-based data analytics business, focusing on developing and closing new business opportunities in Microsoft’s data and AI landscape.
 Role SummaryWe’re seeking a strategic sales representative with a proven ability to close complex Data and AI consulting engagements and acquire new enterprise clients within the Microsoft ecosystem. This position is ideal for a seasoned professional with a strong record of driving revenue growth through consultative selling, building executive-level relationships, and uncovering high-value opportunities across Data Engineering, Data warehousing, Analytics, and AI solutions. The role demands a true hunter mindset, someone skilled at identifying, pursuing, and converting new business opportunities within Microsoft’s Data & AI landscape.
The candidate will be responsible for generating new business, building long-term client relationships, and driving revenue growth through consultative selling of Microsoft Stack – Data, Analytics, Visualizations & AI Solutions.
 Key Responsibilities:
  • Identify and qualify potential customers through outbound prospecting, networking, events, and inbound inquiries.
  • Leverage your current network to solicit and provide our Data Analytics consulting services in the Microsoft stack.
  • Stay current with Microsoft’s Data & AI roadmap, industry trends, and competitor offerings to shape positioning and differentiate OSI in the marketplace.
  • Drive go-to-market strategies in collaboration with marketing and leadership teams. Ensure our sales strategy is perfectly aligned with Microsoft’s newest offerings and incentives, positioning us ahead of the competition.
  • Negotiate pricing, contract terms, and close deals to meet or exceed sales quotas and revenue targets.
  • Manage the full sales lifecycle — from lead generation to deal closure and handoff to delivery.
  • Coordinating with internal practice leads to craft compelling proposals, SOWs, and pricing strategies aligned to client needs.
  • Define ideal customer profiles (ICPs) and target account lists, mapping key decision-makers such as CIOs, CDOs, and VPs of Data, IT, and Finance.
  • Build and nurture long-term client relationships to maintain a strong pipeline of qualified leads.
 Required Qualifications:
  • Bachelor’s degree in business, Marketing, Engineering, or a related field required; MBA preferred.
  • Minimum of 5+ years of experience in IT services, technology, or consulting sales focused on Data, Analytics, Cloud Solutions, and AI, including at least 4+ years of demonstrated success selling within the Microsoft technology ecosystem.
  • Strong conceptual and commercial understanding of Microsoft’s Data and AI services, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, and Azure Machine Learning.
  • Experience selling both project-based consulting and managed services is highly desirable.
  • Experience in Account Management, including generating new business and exceeding consumption-based revenue targets.
  • Established connections within Microsoft’s sales and partner ecosystem, as well as relationships with enterprise customers leveraging Microsoft technologies.
  • Demonstrated success in positioning and selling complex consulting and professional services by aligning business challenges with data- and AI-driven solutions.
  • Skilled in developing go-to-market strategies, defining ideal customer profiles (ICPs), and building targeted account plans to drive pipeline growth and new logo acquisition.
  • Exceptional ability to articulate business value, deliver compelling proposals, and present to C-level and VP-level executives.
  • In-depth awareness of industry trends, competitive landscape, and Microsoft partnership programs to identify differentiation opportunities.
Preferred Qualifications:
  • Established relationships with Microsoft account teams and partner organizations, experience with co-sell and commercial marketplace motions.
  • Familiarity with data-driven transformation initiatives across industries such as manufacturing, healthcare, financial services, construction, and retail.
  • Microsoft Solution Sales or Azure-related certifications (e.g., Microsoft Certified: Azure Fundamentals, Data & AI Fundamentals) are a plus.
  • Proven experience selling data and analytics solutions within adjacent ecosystems such as Snowflake, Databricks, Tableau, and other non-Microsoft cloud platforms.
 How to ApplySend your resume and a brief note describing two recent net-new Microsoft Data/AI wins (problem, solution, TCV, your role, outcome).
 

Powered by JazzHR

ftuQQaAFYv