Senior Analytics Engineer

CDW is a Fortune 500 technology solutions provider that helps organizations achieve what’s possible through technology. The Senior Analytics Engineer transforms curated data into business-ready analytical assets, bridging business requirements and technical data models to deliver trusted metrics and analytics solutions.

Responsibilities:

• Transform curated datasets into BI‑ready semantic models, dashboards, and analytics marts
• Translate business requirements into governed data models and well‑defined metrics
• Define and document metric logic, data lineage, and semantic layer standards
• Maintain and support dashboards and analytics products with defined service‑level expectations
• Design, develop, and deploy data and AI solutions on the Databricks platform
• Build and maintain ETL and ELT pipelines supporting analytics and reporting use cases
• Apply Lakehouse and data warehousing patterns such as Delta Lake and Medallion Architecture
• Collaborate with data engineers, data scientists, and business stakeholders to deliver analytics solutions

Requirements:

• 5 years of experience designing, developing, and deploying analytics and data solutions on the Databricks platform
• Proficiency in Python, including PySpark, and SQL
• Strong understanding of cloud platforms such as AWS, Azure, or GCP, including compute, storage, identity and access management, and networking services
• Experience with data warehousing, data lakes, and Lakehouse architectures
• Hands‑on experience building and maintaining ETL and ELT pipelines
• Experience using Git‑based version control and CI/CD practices for data deployments
• Understanding of data governance concepts, including Unity Catalog fundamentals such as catalogs, schemas, tables, and permission models
• Strong problem‑solving, analytical thinking, and communication skills