BI Data Modeling Engineer

Request Technology, LLC; Houston (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Request Technology, LLC seeks a senior data modeler/ETL specialist to design enterprise data models and support BI platforms. You will collaborate with stakeholders to translate needs into scalable data structures and ensure data quality across warehouses and data lakes.

Candidate will work with SQL Server, Azure Data Factory, Synapse, Power BI, and Databricks in a hybrid environment with 3 days onsite and 2 days remote. 7+ years of relevant experience is expected.

Qualifications

• 7+ years of experience in data modeling, data warehousing, and ETL.
• Hands-on experience with dimensional modeling, star/snowflake schemas, SCDs; Erwin.
• SQL expertise including T-SQL and Microsoft SQL Server.
• ETL/ELT pipelines using Azure Data Factory to load data into analytics marts, warehouses, and lakes.
• Experience with Azure Synapse Analytics, OneLake or Microsoft Fabric.
• BI platforms such as Power BI and Qlik Sense; support for enterprise reporting.
• Exposure to Python, PySpark, Databricks.
• Understanding of data governance, access controls, and data protection.
• Experience in HR, Finance, or Risk domains; professional services a plus.

Responsibilities

• Data Modeling Design: Create and maintain conceptual, logical, and physical data models.
• Business Partnership: Translate business needs into scalable data structures.
• ETL Development Support: Design ETL/ELT processes for BI platforms and warehouses.
• Data Quality & Validation: Ensure data accuracy, consistency, and reliability.
• Performance Optimization: Refine models and database performance.
• Documentation & Governance: Document models, schemas, and data flows with governance.
• Data Security: Design access controls and security measures for sensitive data.
• Advanced Querying: Develop SQL for ad hoc analysis and data validation.
• Agile Collaboration: Work across analytics, development, QA, and UAT as SME.

Skills

Data modeling

Data warehousing

ETL/ELT

SQL / T-SQL

Python / PySpark

Databricks

Data governance

BI reporting

Analytical collaboration

Tools

Erwin

Azure Data Factory

Azure Synapse

OneLake

Microsoft Fabric

Power BI

Qlik Sense

MS SQL Server

Job description

Locations: Chicago, IL / Dallas, TX / Austin, TX / Houston, TX / Boston, MA / Palo Alto, CA / San Francisco, CA / Los Angeles, CA / NY, NY / Salt Lake City, UT / Miami, FL / Nashville, TN / Philadelphia, PA

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

• 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
• Understanding of data governance principles, access controls, and data protection
• Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.

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.