BI / Data Engineer (Strong Business understanding & ability to connect with business stakeholders) - Permanent position - Chicago, IL - In Person Interview Required

Company Description

Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers.

Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management.

Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results.

We are a minority-owned staff augmentation and technology consulting company

To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration

If you are interested in the above opportunity, we warmly invite you to join our team.

Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets)

Job Description

Title of Position: BI / Data Engineer - (Strong Business understanding & ability to connect with business stakeholders)

Location: Chicago, IL - Hybrid

Duration: Full Time

Employment: Permanent

Salary: $Negotiable

Interview process: Teams & In- Person

Job Description

Position Summary

• The Data Engineer is responsible for building and maintaining the data infrastructure that powers financial reporting, analytics, and operational decision-making across the client brands. This role supports the full lifecycle from data pipeline to finished report — designing reliable integrations, transforming raw data into clean, structured models, and delivering operational dashboards and reports that give leadership and teams across the visibility they need to run the business.

Key Responsibilities

• Design, build, and maintain scalable data pipelines that move and transform data across ERP, operational, and reporting systems
• Develop and maintain integrations between key platforms (ERP, Power BI, SharePoint, Microsoft 365, and third-party tools)
• Partner with finance and operations stakeholders to understand reporting needs and translate them into durable data solutions
• Build and maintain data models and semantic layers that support self-service analytics and Power BI reporting
• Design, develop, and maintain operational reports and dashboards that surface key metrics for finance and operations leadership across all divisions
• Automate repetitive data workflows using Power Automate, Python, or similar tools to reduce manual effort across the business
• Support the evaluation and implementation of new data tools and platforms as the team’s data infrastructure evolves
• Collaborate with the Business Systems Analysts to align data architecture with ERP workflows and business processes
• Monitor pipeline health and proactively address failures, latency issues, or data anomalies before they impact the business

Success Metrics

• Reliability and freshness of data pipelines feeding operational and financial reports
• Reduction in manual data handling and spreadsheet-based workarounds across divisions
• Data quality and consistency across key reporting areas (financials, production, inventory)
• Stakeholder satisfaction with operational reports, dashboards, and self-service reporting capabilities

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
• 3–5+ years of experience in data engineering, ETL development, or a closely related role
• Strong proficiency in SQL; experience with Python or similar scripting languages for data transformation and automation
• Experience working with Microsoft 365 ecosystem tools, including Power Automate, Power BI, and SharePoint
• Familiarity with relational databases and data warehouse concepts; experience with cloud data platforms a plus
• Strong attention to detail and a practical, solutions-oriented approach to data problems
• Ability to communicate technical concepts clearly to non-technical stakeholders across finance, operations, and leadership

About Arthur Grand

Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers.

Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management.

Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results.

We are a minority-owned staff augmentation and technology consulting company

To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration

If you are interested in the above opportunity, we warmly invite you to join our team.

Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets)

Qualifications

This is Full Time with client

No sponsorship

W2 (Full Time candidates)

Additional Information

All your information will be kept confidential according to EEO guidelines.