Data Engineer

Position Summary: 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.

Essential Tasks:

• 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

Core Competencies:

• Ability to Analyze and Solve Problems: Skill in recognizing challenges, exploring options, and implementing effective solutions in a timely manner
• Attention to Detail: A strong focus on completing tasks and projects accurately and thoroughly
• Communication Skills: Capable of expressing ideas clearly in both verbal and written forms and engaging with various audiences
• Timely Task Completion: Ability to finish tasks and projects efficiently, managing resources and priorities effectively
• Team Collaboration: Willingness to work together with others, promoting teamwork and supporting shared goals
• Client Focus: Dedication to understanding and addressing the needs of clients and stakeholders to ensure their satisfaction
• Dependability: Acknowledgment of the importance of being present and punctual
• Creative Thinking: Openness to suggesting new ideas and methods to improve processes and outcome
• Organizational Skills: Capability to prioritize tasks and manage multiple projects simultaneously
• Adaptability: Willingness to adjust to changing situations and priorities, showing resilience in a dynamic work environment

Experience and Education:

• 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

Systems:

• Proficient with Microsoft Suite
• Proficient in a scripting or programming language, i.e. – Python
• Azure and Snowflake – 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, preferred
• Power BI – Experience supporting business users with self-service reporting and analytics, preferred

Physical Requirements:

• Ability to lift 25 pounds
• Repeated use of sight to read documents and computer screens
• Repeated use of hearing and speech to communicate on telephone and in person
• Repetitive hand movements, such as keyboarding, writing, 10-key
• Walking, bending, sitting, reaching, and stretching in all directions

Notice to Recruiters and Staffing Agencies: To protect the interests of all parties, Higginbotham Insurance Agency, Inc., and our partners, will not accept unsolicited potential placements from any source other than directly from the candidate or a vendor partner under MSA with Higginbotham. Please do not contact or send unsolicited potential placements to our team members.