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.
Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- 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
Higginbotham Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Higginbotham and has not been reviewed or approved by Higginbotham.
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Healthcare Strength — Health coverage is positioned as comprehensive, with extensive insurance options and access to high-quality plans at competitive rates. Employer contributions toward medical premiums and additional coverage options are described as part of the package.
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Equity Value & Accessibility — Employee ownership is highlighted as a notable component of total rewards, framed as an “owner” model with potential long-term upside. Stock programs, grants, profit units, or similar participation are described as part of compensation for some roles.
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Leave & Time Off Breadth — Paid time off is repeatedly positioned as a strength, including references to strong PTO and time to support community involvement. A flexible work environment and some hybrid flexibility are also described as part of the overall rewards experience.
Higginbotham Insights
What We Do
We're an employee owned and customer inspired, insurance and financial services broker that's family to our employees, accountable to our clients, teammates to our carriers, and generous to our communities. By using our independence to commit to transparency and demonstrate authenticity, we're a company that leads with values so value leads.
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