Sr. BI​/DW Engineer

Compucom is an industry leader in digital workplace services focused on creating better work experiences. We deliver experience‑enhancing solutions that power today’s digital workplace, with everything our customers need for real‑time collaboration, connection, and support.

We put people first! Our associates are our most valuable assets. Our mission is to partner with those who want to grow their skill set and make a positive impact. Future associates will have technical and problem‑solving skills, practical experience, and great customer service skills to be successful. We provide the opportunity to learn both hands‑on in the job, and through internal courses and external career development courses.

A dynamic workplace requires a dynamic workforce.

Compucom Systems, Inc. provides end‑to‑end IT managed services to enable the digital workplace for enterprise, midsize, and small businesses. We employ a customer‑centric, hard‑working, and talented group of people that act like an owner, do the right thing, and have fun doing it. We’re looking for a Sr. BI/DW Engineer to join our team. The Sr. Engineer will design, develop, and maintain BI/ML/AI solutions that empower data‑driven decision‑making across the organization.

You will work closely with cross‑functional teams, translating business needs into technical specifications and building intuitive data models using industry‑leading BI tools like Power BI and Qlik.

• Develop, test, and deploy machine learning models for various use cases such as MACD’s, Enterprise Defects within operations, etc.
• Work with large datasets and perform data preprocessing, feature engineering, and model selection.
• Collaborate with engineers and product teams to define and deliver high‑quality AI solutions.
• Implement machine learning pipelines for scalable model training and inference.
• Tune and optimize models for performance and efficiency, including hyperparameter tuning, model evaluation, and validation.
• Build robust and scalable BI solutions that facilitate data‑driven decision‑making processes across departments.
• Partner with business analysts, department heads, and other stakeholders to gather business requirements and translate them into detailed technical specifications.
• Create and maintain data models, ensuring data accuracy, consistency, and optimization across BI tools like Power BI and Qlik.

• Bachelor’s in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
• 2‑4 years of experience working in machine learning, data science, or related roles.
• Proficiency in programming languages such as Python, R, or JavaScript.
• Strong experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, Scikit‑learn).
• Familiarity with deep learning architectures and techniques (e.g., CNNs, RNNs, transformers).
• Solid understanding of algorithms, data structures, and model evaluation methods.
• Experience working with data manipulation libraries like Num Py, pandas, and data visualization tools (e.g., Matplotlib, Seaborn).
• Proficiency in cloud platforms (e.g., AWS, GCP, Azure, Snowflake) and containerization tools (Docker, Kubernetes) is a plus.
• Expertise in AI and machine learning to drive innovative solutions and enhance business operations through Agentic AI technologies.
• Proven experience as a BI Developer or in a similar data‑focused role.
• Expert in BI tools mainly Qlik and proficient in Power BI.
• Experience working with cross‑functional teams to capture business requirements and translate them into actionable technical solutions.
• Strong analytical and problem‑solving skills, with attention to detail.
• Excellent communication skills, with the ability to simplify complex technical concepts for non‑technical stakeholders.

• Experience in deploying machine learning models into production environments.
• Experience in Generative AI (Open AI, Anthropic, Bedrock, Gemini, Azure Open AI).
• Familiarity with distributed computing frameworks like Spark or Dask.
• Knowledge of MLOps practices and model versioning tools (e.g., MLflow, DVC, Kubeflow).
• Experience with NLP, computer vision, or…