BI Data Modeler Engineer

Request Technology, LLC; Chicago (IL); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Request Technology, LLC is seeking a BI Data Modeler Engineer in Chicago, combining onsite and remote work in a hybrid model. You will lead data modeling across enterprise systems, work with SQL Server, Azure Synapse Analytics, and the Microsoft Data Analytics Foundation to enable robust analytics and reporting.

The role requires 7+ years in data modeling and ETL, with hands-on experience in dimensional modeling, Erwin, and modern data pipelines using ADF, Synapse, and analytics platforms like

Qualifications

• Bachelor’s degree in computer science, a related field, or equivalent practical experience.
• 7+ years of experience in data modeling, data warehousing, and ETL processes.

Responsibilities

• Create and maintain conceptual, logical, and physical data models for reporting and analytics across enterprise systems.
• Collaborate with stakeholders to translate business needs into scalable data structures and solutions.
• Design ETL/ELT processes to load data into BI platforms and data warehouses.
• Implement data quality checks and governance controls.
• Monitor and optimize data models and query performance for reporting.
• Document models, schemas, and data flows with governance standards.
• Assist with access controls and data security considerations.
• Develop SQL queries for ad hoc analysis and validation.
• Participate in Agile workflows as a data SME.
• Build knowledge of business systems and data domains to support initiatives.

Skills

Dimensional modeling

SQL / T-SQL

Azure Synapse Analytics

Azure Data Factory

Power BI / Qlik Sense

Python / PySpark

Java / C#

Data governance

Education

Bachelor's degree in CS or related field

Tools

Erwin

Job description

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

An established firm is looking for BI Data Modeler Engineer. This role will be focused on data modeling, Microsoft tech Stack, SQL Server, Azure, Azure Synapse Analytics, and Microsoft Data Analytics Foundation.

Responsibilities:

• Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.
• Collaborate with stakeholders to translate business needs into scalable data structures and solutions.
• Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.
• Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.
• Continuously monitor and refine data models and database performance for efficient querying and reporting.
• Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.
• Help design access controls and security measures to protect sensitive data.
• Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.
• Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.
• Build strong knowledge of business systems and data domains to support strategic initiatives.

Qualifications:

• Bachelor’s degree in computer science, a related field, or equivalent practical experience.
• 7+ years of experience in data modeling, data warehousing, and ETL processes.
• Strong Hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.
• Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.
• 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.
• Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.
• Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.
• Understanding of data governance principles, access controls, and data protection best practices.