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Principal Microsoft Data & AI Engineer - Hybrid
Career Insights for Generative Artificial Intelligence Engineer
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Based on Minnesota data
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$139,206 / year median in Minnesota
Job Description
Principal Microsoft Data & AI Engineer - Hybrid#26-09915
Minneapolis, MN
Charlotte, NC
Irving, TX
Chandler, AZ
Hybrid
Contract
Starts 10/05/2026
Ends 4/04/2028
Job Description
Genesis10 is currently seeking a Principal Microsoft Data & AI Engineer - Hybrid position with a Global Financial Institution located in Minneapolis, MN, Chandler, AZ, Irving, TX or Charlotte, NC. This is an 18+ month contract opportunity.
This is a senior, hands-on data engineering role to design and deliver trusted data products for workforce analytics, operational reporting, executive decision-making, and AI-assisted analysis. The ideal candidate will take ownership ofplex data problems from initial source assessment through ingestion, transformation, data quality validation, modeling, documentation, and delivery of analysis-ready data products. The environment is primarily within the Microsoft ecosystem, utilizing SQL Server, Microsoft Fabric, Azure, Power BI, and Excel.
Responsibilities:
Design, build, test, deploy, and support scalable data ingestion, transformation, and integration solutions using Microsoft SQL Server and Microsoft Fabric
Develop reusable ETL and ELT processes that move data from authorized enterprise systems into governed analytical data stores and semantic models
Write and optimize advanced SQL, includingplex queries, stored procedures, views, transformations, and performance-tuned processing routines
Design relational, dimensional, semantic, and analytical data models that support Power BI, Excel, human analysis, and approved AI-assisted analysis
Design enterprise data models using repository-driven standards and Medallion methodology to deliver governed, high-quality, analytics-ready data assets
Integrate structured, semi-structured, and unstructured data from databases, Excel, CSV files, email-delivered files, APIs, exported reports, and authorized web-based sources
Create controlled, repeatable processes for nonstandard data sources with validation, reconciliation, traceability, and error handling
Profile data, identify quality issues, determine root causes, and implement remediation or monitoring controls
Build curated, analysis-ready datasets and semantic models for Power BI, Excel, analysts, and approved AI tools
Use approved generative AI tools to assist with data analysis, SQL and code development, documentation, testing, troubleshooting, and prompt-based workflows
Validate AI-generated SQL, code, calculations, summaries, and analytical conclusions before use
Translate business and analytical needs into clear data requirements, technical designs, and usable data products
Follow applicable data governance, privacy, information security, risk, andpliance requirements
Requirements:
- 7+ years of progressively responsible experience in data engineering, database engineering, analytics engineering, data integration, or a related discipline
- Advanced hands-on Microsoft SQL Server andplex SQL development experience
- Experience designing and delivering reusable ETL or ELT pipelines
- Hands-on Microsoft Fabric experience or strong experience with aparable modern cloud data platform
- Strong knowledge of relational, dimensional, semantic, and analytical data modeling
- Experience designing enterprise data models using repository-driven standards and Medallion methodology to create governed, high-quality, analytics-ready data assets
- Experience integrating enterprise data with nonstandard sources such as Excel, files, APIs, email-delivered data, exported reports, or authorized website data
- Demonstrated data profiling, validation, reconciliation, and data quality problem-solving experience
- Advanced Excel skills, including Power Query, data models, PivotTables, advanced formulas, and external data connections
- Experience preparing data for Power BI, Excel, human analysts, or AI-assisted analytical workflows
- Working knowledge of source control, code review, testing, release management, and production support
- Practical, work-related experience with one or more AI-assisted engineering or productivity tools (e.g., Microsoft 365 Copilot, GitHub Copilot)
- Experience developing and refining prompts for data discovery, analysis, SQL generation, testing, documentation, and interpretation of results
- Ability to validate AI-generated SQL, calculations, code, and recognize hallucinations or unsupported conclusions
- Strongmunication skills and the ability to explain technical designs to nontechnical stakeholders
- Ability to work independently and manage ambiguity in aplex, regulated enterprise environment
Desired skills:
Microsoft Fabric Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, or semantic model experience
Azure SQL, Azure Data Lake Storage, Azure Data Factory, or related Azure data services
Python, PySpark, PowerShell, or another data transformation and automation language
Power BI experience, including semantic models, DAX, Power Query, performance optimization, and executive reporting
Power Apps or Power Automate experience
Databricks, Delta Lake, Spark, medallion architecture, orparable lakehouse experience
Experience with APIs, JSON, XML, HTML parsing, browser automation, or approved web data extraction
Experience working with confidential or sensitive data in a regulated environment
GitHub, Azure DevOps, ServiceNow, CI/CD, or automated testing experience
Pay range: $86.09 - $94.09 per hour
Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.
If you have the described qualifications and are interested in this exciting opportunity, please !
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
Behavioral Health Platform
Medical, Dental, Vision
Health Savings Account
Voluntary Hospital Indemnity (Critical Illness & Accident)
Voluntary Term Life Insurance
401K
Sick Pay (for applicable states/municipalities)
Commuter Benefits (Dallas, NYC, SF, and Illinois)
For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Benefits
- Sick Leave
- 401(k) Plans
- Health Insurance
- Dental Insurance