Data Modeling BI Engineer

Request Technology, LLC; Chicago (IL); On-site; USD 110,000 - 150,000; Full time

Job summary

Request Technology, LLC is seeking a Business Intelligence Engineer with deep data modeling experience to shape how data is structured and accessed for enterprise reporting.

You will partner with business analysts, data engineers, and stakeholders to design and support data models powering dashboards and analytics across the organization. The role requires strong SQL, dimensional modeling, and experience with Azure data services; Power BI and Qlik Sense familiarity is a plus.

Qualifications

• 7+ years of experience in data modeling, warehousing, and ETL.
• Strong hands-on dimensional modeling, star/snowflake schemas, and SCDs.
• Expert SQL and MS SQL Server expertise.
• Experience with Azure data services (ADF, Synapse) and BI tools.
• Collaborative with analysts, data engineers, and stakeholders.

Responsibilities

• Design and maintain data models to support reporting and analytics.
• Collaborate with analysts and engineers to translate requirements.
• Support ETL/ELT processes to move data into BI platforms.
• Ensure data quality, governance, and security across domains.
• Optimize performance of data models and queries.
• Document schemas and data flows for enterprise use.
• Participate in Agile workflows as a data SME.

Skills

Data modeling

Dimensional modeling

Star/Snowflake schemas

SCDs

SQL (T-SQL)

Microsoft SQL Server

Python

PySpark

Databricks

Azure Data Factory

Azure Synapse Analytics

Power BI

Qlik Sense

C#

Education

Bachelor's degree in computer science, a related field, or equivalent practical experience

Tools

Erwin

Data warehousing

Job description

We are unable to sponsor for this permanent full-time role

Position is bonus eligible

Prestigious Global Firm is currently seeking a Business Intelligence Engineer with strong Data Modeling experience.. Candidate will play a critical role in shaping how data is structured, accessed, and for enterprise business intelligence. Candidate will be partnering closely with business analysts, data engineers, and business stakeholders, you’ll design and support development of data models that power reporting, analytics.

Responsibilities:

• Data Modeling Design: Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.
• Business Partnership: Collaborate with stakeholders to translate business needs into scalable data structures and solutions.
• ETL Development Support: Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.
• Data Quality & Validation: Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.
• Performance Optimization: Continuously monitor and refine data models and database performance for efficient querying and reporting.
• Documentation & Governance: Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.
• Data Security: Help design access controls and security measures to protect sensitive data.
• Advanced Querying: Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.
• Agile Collaboration: Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.
• Domain Expertise: Build strong knowledge of business systems and data domains to support strategic initiatives.
• Continuous Learning: Stay current with evolving technologies and industry trends in data modeling and analytics.

Qualifications:

• Education: Bachelor’s degree in computer science, a related field, or equivalent practical experience.
• Experience: 7+ years of experience in data modeling, data warehousing, and ETL processes.
• Data Modeling Expertise: Strong Hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.
• Technical Skills: Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.
• Data Engineering Knowledge: Experience with data pipelines using ETL or Extract, Load, Transform (ELT) techniques and tools such as Azure Data Factory (ADF) to load data into analytics data marts, data warehouses and data lakes. Experience with analytics data platforms such as Azure Synapse Analytics, OneLake or Microsoft Fabric.
• Analytics & BI Tools: Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.
• Programming & Scripting: Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.
• Data Governance & Security: Understanding of data governance principles, access controls, and data protection best practices.
• Business Acumen: Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.