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Higginbotham

Data Engineer

Higginbotham

. The Data Engineer designs, builds, and maintains scalable data pipelines and analytics solutions across our Azure cloud environment .

Posted 5/21/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudETLPythonSQL

About the role

Key responsibilities & impact
  • 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
  • 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

Requirements

What you’ll need
  • 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
  • Experience with the broader Azure data platform and modern cloud data architecture
  • Working knowledge of data governance and data security best practices

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Hard Skills & Tools
data engineeringETLELTSQLdata modelingdata transformationdata integrationdata warehousingdata governancedata security
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingattention to detail