Data Engineer

🕒 May 21

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Higginbotham

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1948

🤝 B2B

👥 HR Tech

💰 $20.7M Series unknown on 2015-01

B2B • Financial • HR Tech

Higginbotham is a private, employee-owned insurance brokerage and advisory firm that provides comprehensive insurance, employee benefits, HR and financial services to businesses and individuals. The company offers commercial and specialty industry insurance, risk management and claims advocacy, employee benefits and retirement plan administration, HR outsourcing and technology, and personal insurance solutions. Higginbotham emphasizes personalized service, community engagement, and long‑term partnerships, delivering tailored plans, consulting, and ongoing support to help clients manage risk and financial planning.

📋 Description

• 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

• 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

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