Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Convert curated datasets into business intelligence-ready semantic models, dashboards, and analytical marts.

• Interpret business requirements to create governed data models and clearly defined metrics.

• Establish and document metric logic, data lineage, and standards for the semantic layer.

• Support and maintain dashboards and analytics products.

• Design, develop, and implement data and AI solutions on the Databricks platform.

• Construct and manage ETL and ELT pipelines.

• Collaborate with data engineers, data scientists, and business stakeholders to provide analytics solutions.

⛳️ Requirements

• A minimum of 5 years of experience in designing, developing, and deploying analytical and data solutions on the Databricks platform.

• Expertise in Python, including PySpark, and SQL.

• Solid understanding of cloud platforms such as AWS, Azure, or GCP.

• Experience with data warehousing, data lakes, and lakehouse architectures.

• Practical experience in building and maintaining ETL and ELT pipelines.

• Familiarity with Git-based version control and CI/CD practices for data deployments.

• Knowledge of data governance principles, including Unity Catalog fundamentals.

• Strong problem-solving abilities, analytical thinking, and effective communication skills.

🏝️ Benefits

• CDW is dedicated to becoming an AI-fluent organization.

• Promoting an equitable, transparent, and respectful hiring process for all candidates.

• 401(k) matching.

• Opportunities for professional development.

• Flexible working hours.

• Paid time off.

• Options for remote work.