Data Engineer(Consultant)-1

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. Summary We are seeking a consultant – Data Engineering with expertise in Data Engineering Concepts, SQL, Data Warehousing, Microsoft Fabric and Azure-based technologies. The ideal candidate will be responsible for designing and implementing scalable data solutions using Azure Data Factory, Microsoft Fabric, and Data Warehousing best practices. This role involves working closely with cross-functional teams to build efficient data pipelines and enable data-driven decision-making. Key Responsibility Design, develop, and optimize data pipelines and ETL processes using Microsoft Fabric, Azure Data Factory (ADF). Implement data warehousing solutions and support end-to-end data lifecycle management. Work with SQL to write complex queries, optimize performance, and manage data transformation. Utilize Azure Portal to manage and monitor cloud-based data infrastructure. Collaborate with stakeholders to understand data requirements and build data models for analytics and reporting. Ensure data integrity, security, and governance in alignment with best practices. Provide basic support and understanding of Microsoft Fabric for analytics and data management. Troubleshoot data pipeline issues and optimize cloud-based data workflows. Stay up to date with Azure and Microsoft Fabric advancements to enhance data engineering processes. Other Responsibilities Report project/task status to the appropriate Application Development Manager on a weekly basis (at minimum). Ensure stakeholders are responded to in a timely and professional manner. Foster open lines of communication with all parties. Education and/or Experience Qualifications Bachelor’s degree in Computer Science, or equivalent practical knowledge/experience. Required Qualifications 2+ years of experience in Data Engineering. Strong expertise in SQL, including query performance tuning and stored procedures. Hands-on experience with Data Warehousing concepts, star/snowflake schema, indexing, and partitioning. Proficiency in Microsoft Fabric, Azure Data Factory (ADF) for ETL/ELT workflows. Working knowledge of Azure Portal for resource management and monitoring. Understanding of Microsoft Fabric and its role in data analytics. Familiarity with Azure Data Services (e.g., Azure Synapse, Azure SQL Database, Azure Storage). Experience in data modeling, data governance, and metadata management. Strong analytical and problem-solving skills with the ability to debug and optimize data pipelines. Preferred Qualifications Experience with Python or Spark for data transformations. Exposure to real-time data processing (e.g., Azure Event Hubs, Stream Analytics). Certifications in Azure Data Engineering (e.g., DP-203), Fabric Certifications (DP600, DP700) or relevant Microsoft certifications. Understanding of Power BI or other visualization tools. 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. About Us 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 full‑stack, full‑lifecycle 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.