Data Engineer

• Build and enhance data architectures that collect, structure, and deliver information for reporting and analytics use across the organization.
• Design, develop, and support end-to-end ETL processes, moving data from source systems into data warehouses, operational stores, and business intelligence platforms.
• Partner with business subject matter experts to identify data sources, define reporting needs, and shape data models that align with operational goals.
• Create and maintain database solutions that support efficient storage, retrieval, performance tuning, and ongoing system reliability.
• Administer server databases by handling upgrades, patching, troubleshooting, and optimization activities to ensure stable production environments.
• Develop logical and conceptual data models and expand enterprise data structures to accommodate new business requirements and incoming data sources.
• Translate business questions into technical specifications and build reporting-ready datasets, metadata, and presentation-layer objects for dashboards and self-service analytics.
• Support data migration efforts from legacy platforms to modern solutions, including development, testing, deployment preparation, and code promotion activities.
• Work closely with stakeholders to determine which metrics and data elements provide the most value for visual reporting and decision support.
• Contribute to additional data engineering and reporting initiatives as business priorities evolve.

• Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Information Management, or a related field.
• At least 5 years of experience working with enterprise data sources, reporting environments, and data engineering solutions.
• Hands-on experience with ETL development and data pipeline design.
• Advanced SQL skills with the ability to build, troubleshoot, and optimize complex queries and database objects.
• Experience using Azure Data Factory to orchestrate and manage data integration workflows.
• Proficiency with Power BI for delivering dashboards, reports, and business-facing data visualizations.
• Demonstrated ability to gather requirements and convert business needs into scalable technical solutions.

Experience in insurance, government, or financial services environments is preferred.

• medical
• vision
• dental
• life insurance
• disability insurance
• 401(k) plan