Engineer III, Global Technology - Data Solutions (Microsoft Fabric/Databricks)

Location: On-site in Ellenwood, GA, or one of Atlanta, Dallas, Detroit, Laredo, or Newark; candidates must be local or willing to relocate. Relocation assistance is not offered.

Base salary: $124,000–$186,000 annually; the range is representative of the Newark market and may vary by location.

Company

hirify.global provides global supply chain management and logistics services through unified enterprise systems and a worldwide professional workforce.

What you will do

• Design, develop, and support enterprise data models, semantic layers, reporting datasets, dashboards, visualizations, and analytical applications.
• Build scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes.
• Design analytics architectures and contribute to solution design, reliability, scalability, maintainability, and long-term supportability.
• Establish practices for data quality, testing, automation, observability, CI/CD, release governance, and production monitoring.
• Partner with product managers, architects, platform engineers, and business stakeholders to turn complex requirements into production-ready analytical solutions.
• Define KPIs, business metrics, and semantic models while supporting code reviews, mentoring, governance, privacy, security, and compliance.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or an equivalent combination of education and experience.
• 5+ years of experience designing and implementing end-to-end enterprise data and analytics solutions.
• Advanced experience with Microsoft Fabric and Databricks, including data engineering, data modeling, semantic-layer development, analytics architecture, and performance optimization.
• Advanced Power BI proficiency, including DAX, Power Query, semantic models, dashboards, and visualization best practices.
• Experience with SQL, Spark, or PySpark for scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes.
• Experience implementing Git-integrated CI/CD, automated testing, deployment pipelines, and release governance.
• Experience supporting production analytics solutions through monitoring, troubleshooting, and performance optimization.
• Strong communication, collaboration, problem-solving, and technical leadership skills.
• Must be eligible to lawfully work in the U.S. immediately; U.S. work authorization sponsorship or transfer, including H-1B sponsorship, is not available.

Nice to have

• Experience with Agentic AI development processes and practices.
• Experience governing enterprise KPIs, business metrics, semantic models, reporting standards, data quality, observability, privacy, security, and governance.
• Experience modernizing legacy reporting and analytics solutions or improving delivery through DORA metrics.
• Experience with Tableau, Python visualization libraries, Azure Data Services, or similar analytics technologies.
• Microsoft Fabric, Power BI, Databricks, Azure, or related certifications, including DP-600, DP-700, PL-300, or Databricks Data Engineer Professional.

Culture & Benefits

• Full-time, 40 hours per week, Monday through Friday, in an on-site role.
• Paid vacation, 10 holidays, flexible days, paid sick time, and paid parental leave subject to eligibility criteria.
• Medical, prescription drug, dental, vision, HSA, life, disability, and dependent care coverage.
• 401(k) with employer match, employee stock purchase plan, commuter benefit, and employee assistance program.
• Training, personnel development, educational assistance, and reimbursement programs.