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Microsoft Data Engineer Jobs (NOW HIRING)

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.

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 ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Fabric Data Engineer Location: Indianapolis, IN. Let's create our future together at The AES Group! About The AES Group: The AES Group is a premier technology consulting company that has ...

Lantern

Data Architect

Dallas, TX

$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 ...

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 ...

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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 Aug 8, 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?

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:
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Microsoft Data Engineer jobs near you
Infographic showing various Microsoft Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sales Representative Data Analytics/ Microsoft

OSI Digital

Dallas, TX • On-site

Full-time

Re-posted 10 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 Summary
We'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 Apply
Send your resume and a brief note describing two recent net-new Microsoft Data/AI wins (problem, solution, TCV, your role, outcome).

Apply