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Job Details

Skills

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

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

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Principal Microsoft Data & AI Engineer in Minneapolis, MN, Irving, TX, or Charlotte NC. (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 18 Months

Required Skills & Experience

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
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.

Desired Skills & Experience

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

What You Will Be Doing

Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering.
Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
Provide expertise to client senior leadership on innovative Engineering business solutions.
Strategically engage with client personnel.
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.

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: 10105282
Position Id: 887195
Posted 8 hours ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

Job Details

Skills

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

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

Summary

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
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.

Desired Skills & Experience

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

What You Will Be Doing

Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering.
Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
Provide expertise to client senior leadership on innovative Engineering business solutions.
Strategically engage with client personnel.
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.

Dice Id: 10105282
Position Id: 887195
Posted 8 hours ago

Company Info

About Motion Recruitment Partners, LLC

Senior Data Analytics Solutions Engineer / Oak Brook / PowerBI / DAX

Oak Brook, Illinois

•

Today

A growing, data-driven organization in Oak Brook, IL is seeking a full-time Analytics Solutions Architect (hybrid schedule) to help modernize and scale its reporting environment. This role sits at the intersection of business and technology, leveraging tools like Power BI, Salesforce, SQL, and Microsoft Fabric to deliver impactful analytics solutions across the organization. This is a unique opportunity for someone who enjoys both strategy and execution. The company is actively investing in its

Easy Apply

Full-time

$140000 - $160000

Principal Microsoft Data & AI Engineer

Skills

Summary

Dice Job Match Score™

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Principal Microsoft Data & AI Engineer

Motion Recruitment Partners, LLC

Job Details

Skills

Summary

Company Info

About Motion Recruitment Partners, LLC

Dice Job Match Score™

Similar Jobs