Principal Microsoft Fabric and Data Engineer (W2/NoOPT)

Title: Principal Microsoft Fabric and Data Engineer

Location: Multiple

Duration: 18 Months

Visa: No OPT/No H1b

Hybrid & W2 Role

Minneapolis, MN (Preferred) | Chandler, AZ | Irving, TX | Charlotte, NC

Must-Have Skills (Required)

Data Engineering & Database Technologies

This is fundamentally a Senior/Principal Data Engineering role with the highest emphasis on Microsoft SQL Server (40%) + Microsoft Fabric (30%) + Data Modeling (15%) + AI-assisted Analytics (10%) + Power BI/Excel (5%).

REQUIRED

Business Intelligence & Reporting
Advanced MS Excel
Artificial Intelligence (AI)
Azure Databricks
Data Modeling
Microsoft Fabric Components
Power bi fabric
SQL

Seeking a Principal Microsoft Data & AI Engineer who combines advanced SQL and Microsoft Fabric expertise with hands-on data engineering, data wrangling, analytical modeling, and practical experience using generative AI tools to accelerate data analysis and solution development.


Position Summary
Seeking a senior, hands-on data engineer to design and deliver trusted data products for workforce
analytics, operational reporting, executive decision-making, and AI-assisted analysis. The role requires
deep Microsoft SQL Server and Microsoft Fabric expertise, advanced data modeling skills to create
reusable analytical models for hypothesis testing and analysis, strong data integration capabilities,
practical experience using AI tools for data work, and advanced Excel proficiency.
This is a senior, hands-on engineering role. The resource will be expected to 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 ideal candidate can work
effectively with both established enterprise data sources and less-structured, authorized inputs such as
Excel workbooks, email-delivered files, exported reports, APIs, and approved web-based data sources.
The environment is primarily within the Microsoft ecosystem. Microsoft SQL Server is the core database
platform, Microsoft Fabric is heavily used for data engineering and analytics, and Azure will support the
team’s Operational Data Store. Power BI and Excel are key consumption tools. The team expects to gain
access to Databricks in the first quarter of 2027, so prior Databricks or lakehouse experience is beneficial
but not required.
A successful candidate must be comfortable building robust technical solutions while also understanding
how analysts and senior executives consume information. Although this is an engineering position,
advanced Excel proficiency is required because many executive deliverables and analytical workflows will
continue to be consumed through Excel.

Required Qualifications
• 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.
• Strong communication skills and the ability to explain technical designs, assumptions, limitations, and findings to nontechnical stakeholders.
• Ability to work independently and manage ambiguity in a complex, regulated enterprise environment.

AI Experience
Candidates should have practical, work-related experience with one or more AI-assisted engineering or
productivity tools, such as Microsoft 365 Copilot, GitHub Copilot, Claude Code, Microsoft Cowork, Devin,
Visual Studio Code with approved AI extensions, or other enterprise-approved LLM tools.
• Developing and refining prompts for data discovery, analysis, SQL generation, testing, documentation,
and interpretation of results.
• Providing schema context, definitions, examples, constraints, and expected output formats within
prompts.
• Validating AI-generated SQL, calculations, code, summaries, and analytical conclusions.
• Recognizing hallucinations, unsupported conclusions, incorrect assumptions, and data leakage risk.
• Creating repeatable prompt templates or AI-assisted workflows that improve analyst productivity.

Preferred Qualifications
Third-Party Recruiting Vendor Brief Page 4
• 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 supporting both traditional business intelligence and AI-based analysis.
• 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

Thanks & Regards.

Aviral Sapra

Voto Consulting LLC

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