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# Data Engineer

- **Company:** DXP Enterprises, Inc.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Application Services, Microsoft Azure, Business Systems, Information Systems, Data Architecture, Data Validation, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Relational Databases, Dimensional Modeling, Microsoft SQL Server, Power BI, Software Engineering, SQL Stored Procedures, SQL Databases, Azure Data Factory, Prophet, Microsoft Fabric, Information Technology, Epicor ERP, Data Analytics, Data Management, Infor, Software Version Control, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6733bbebcdc52220

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field; equivalent experience may be considered
 * 5+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, or related field
 * Experience with Microsoft Fabric, Azure Data Factory, or other Azure data services
 * Advanced proficiency in SQL and relational database development
 * Experience with Python for data engineering, automation, or data transformation activities
 * Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes
 * Experience developing and supporting Power BI solutions
 * Knowledge of source control, deployment practices, and software development lifecycle processes
 * Strong analytical, troubleshooting, and problem-solving skills
 * Excellent verbal and written communication skills
 * Ability to work independently and effectively in a collaborative team environment
 * Experience with ERP systems such as Infor M3, Epicor Prophet 21, or similar platforms preferred
 * Microsoft Azure, Fabric, or Power BI certifications preferred, * Physical Demands: Ability to sit, stand, and work at a computer workstation for extended periods
 * Working Conditions: Professional office environment with occasional after-hours support for deployments and critical business initiatives
 * Education: Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or related field preferred
 * Travel: Minimal travel may be required as business needs dictate

## Description

Summary Under the direction of the Director of Data & Analytics, the Data Engineer is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives. This role works closely with business and technical stakeholders to build and optimize data pipelines, data warehouses, and lakehouse environments utilizing Microsoft Fabric, Azure, SQL Server, and Power BI technologies. The Data Engineer plays a key role in advancing DXP's data platform strategy through data integration, automation, governance, and modernization efforts., * Design, develop, and maintain data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies

 * Build and support enterprise data warehouse and lakehouse solutions utilizing modern data architecture principles
 * Develop, optimize, and maintain SQL queries, stored procedures, and data transformation processes
 * Create and support data models that enable reporting, analytics, and business intelligence solutions
 * Integrate data from multiple business systems including ERP, CRM, and third-party applications
 * Develop data validation, monitoring, and quality control processes to ensure data integrity
 * Support Power BI datasets, semantic models, and reporting environments
 * Collaborate with business stakeholders to gather requirements and translate them into technical solutions
 * Troubleshoot data-related issues and provide ongoing production support
 * Participate in testing, deployment, and documentation of data solutions
 * Assist with cloud data platform modernization and migration initiatives
 * Maintain security, governance, and compliance standards across data platforms
 * Support continuous improvement efforts through process automation and optimization
 * Perform additional duties and special projects as assigned