Senior Analytics Engineer

CDW

1d

About The Position

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW. The Senior Analytics Engineer transforms curated data into business‑ready analytical assets, including semantic models, dashboards, and data marts. This role bridges business requirements and technical data models to deliver trusted metrics, governed datasets, and reliable analytics solutions. The engineer operates with significant autonomy and partners closely with stakeholders across data, analytics, and business teams.

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.

Nice To Haves

• CDW is committed to being an AI-fluent organization We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work. Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.

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.

Benefits

• CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed