Data Engineer

Higginbotham • Fort Worth, TX

19d

About The Position

The Data Engineer designs, builds, and maintains scalable data pipelines and analytics solutions across our Azure cloud environment. This role transforms raw data from multiple source systems into reliable, business-ready information that powers reporting, analytics, and operational decision-making. The Data Engineer works closely with analysts, application developers, and business stakeholders to deliver high-quality data solutions on Snowflake, Azure Data Lake, and Microsoft Power BI.

Requirements

• Minimum 3 years of hands-on experience in data engineering or a closely related field
• Demonstrated experience with Snowflake, including data loading, transformation, and query optimization
• Proficiency in Microsoft Power BI, including dashboard development, report design, and data visualization
• Experience working with Azure Data Lake and large-scale datasets
• Strong SQL skills and working knowledge of data modeling and cloud-based data integration concepts
• Understanding of ETL/ELT processes and data warehousing principles within Azure environments
• Familiarity with Azure data services and techniques for tuning cloud data pipeline performance
• Proficient with Microsoft Suite
• Proficient in a scripting or programming language, i.e. – Python

Nice To Haves

• Experience with the broader Azure data platform and modern cloud data architecture
• Working knowledge of data governance and data security best practices within the programs
• Experience supporting business users with self-service reporting and analytics

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines in Azure to ingest, transform, and integrate data from multiple source systems
• Build and optimize Snowflake-based data solutions for scalable storage, transformation, and analytics workloads
• Manage and support Azure Data Lake structures for both structured and unstructured data
• Develop interactive dashboards and reports in Microsoft Power BI to support business intelligence and operational reporting
• Implement integration solutions that connect Azure services, Snowflake, and downstream reporting platforms
• Monitor pipeline performance, troubleshoot failures, and implement enhancements to improve efficiency and reliability
• Ensure data quality, integrity, security, and consistency across all cloud data platforms
• Partner with analysts, developers, and business stakeholders to gather and refine data and reporting requirements

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed