Principal Microsoft Data & AI Engineer - Hybrid

Minneapolis, MN, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Compensation information provided in the description
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Job Details

Skills

  • Finance
  • HR Analytics
  • Decision-making
  • Modeling
  • Stored Procedures
  • Unstructured Data
  • Computerized System Validation
  • ROOT
  • Generative Artificial Intelligence (AI)
  • Data Analysis
  • Data Governance
  • Privacy
  • Information Security
  • Regulatory Compliance
  • Data Engineering
  • Database
  • Data Integration
  • Microsoft SQL Server
  • Extract
  • Transform
  • Load
  • ELT
  • Cloud Computing
  • Data Modeling
  • Analytics
  • Data Profiling
  • Data Quality
  • Conflict Resolution
  • Problem Solving
  • Pivot Table
  • Microsoft Excel
  • Analytical Skill
  • Workflow
  • Version Control
  • Code Review
  • Release Management
  • Production Support
  • Productivity
  • Microsoft Office
  • Testing
  • Documentation
  • Artificial Intelligence
  • SQL
  • Communication
  • Management
  • Microsoft
  • Warehouse
  • Data Flow
  • SQL Azure
  • Data Lake
  • Storage
  • Python
  • PySpark
  • Windows PowerShell
  • Microsoft Power BI
  • Semantics
  • DAX
  • Performance Tuning
  • Reporting
  • Databricks
  • Apache Spark
  • JSON
  • XML
  • HTML
  • Web Browsers
  • Data Extraction
  • GitHub
  • Microsoft Azure
  • DevOps
  • ServiceNow
  • Continuous Integration
  • Continuous Delivery
  • Automated Testing
  • Collaboration
  • Spectrum
  • Life Insurance
  • Salesforce.com
  • Recruiting
  • Leadership

Summary

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 of complex 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, including complex 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, and compliance 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 and complex SQL development experience
  • Experience designing and delivering reusable ETL or ELT pipelines
  • Hands-on Microsoft Fabric experience or strong experience with a comparable 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
  • Strong communication skills and the ability to explain technical designs to nontechnical stakeholders
  • Ability to work independently and manage ambiguity in a complex, 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, or comparable 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 apply!

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: gentx001
  • Position Id: 26-09915
  • Posted 2 hours ago

Company Info

About Genesis10

Genesis10 is an award-winning U.S.-based staffing firm that’s currently recruiting qualified technology and business professionals for contract, contract-to-hire and permanent placement roles at Global Fortune 100 firms, mid-cap companies and start-ups across all industry sectors. We take the time to get to know you beyond your resume to position you with opportunities that fit your skills, experience, and goals—and stick with you from placement through your engagement, project after project. Genesis10 provides a full range of benefits, including Medical, HSA, Dental, Vision, 401(k) and Roth, Voluntary Life Insurance, Commuter Benefits (specific locations), and Sick Pay (for applicable states/municipalities).  

Genesis10 is an Equal Opportunity Employer, M/F/D/V

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