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.
Design, develop, and deploy data and AI solutions on the Databricks platform.
Build and maintain ETL and ELT pipelines.
Collaborate with data engineers, data scientists, and business stakeholders to deliver analytics solutions.

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.
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.
Strong problem‑solving, analytical thinking, and communication skills.

CDW is committed to being an AI-fluent organization
Fostering an equitable, transparent, and respectful hiring process for all applicants.
401(k) matching
Professional development opportunities
Flexible work hours
Paid time off
Remote work options

Senior Analytics Engineer

Key skills