Senior Analytics Engineer

CDW
Vernon Hills, United States of America
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Vernon Hills, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Cloud Computing
Data Governance
ETL
Data Mart
Data Systems
Data Warehousing
Identity and Access Management
Python
Network Service
SQL Databases
Technical Data Management Systems
Data Lake
PySpark
Data Lineage
Software Version Control
Data Pipelines
Databricks

Job description

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 businessready 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.

What you'll do:

  • Transform curated datasets into BIready semantic models, dashboards, and analytics marts.
  • Translate business requirements into governed data models and welldefined metrics.
  • Define and document metric logic, data lineage, and semantic layer standards.
  • Maintain and support dashboards and analytics products with defined servicelevel 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.
  • Handson experience building and maintaining ETL and ELT pipelines.
  • Experience using Gitbased 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 problemsolving, analytical thinking, and communication skills., 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.

About the company

CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do-it's how we do it. At CDW we act as one-building trust, speaking candidly, and working together to achieve more. We play to win-focusing on what matters most and delivering for our customers. And we think forward-staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees-working together to solve complex challenges and deliver real impact for our customers and communities. As a fullstack, fulllifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards 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. CDW is an affirmative action/equal opportunity employer committed to a diverse and inclusive workplace.

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