Sr. BI​/DW Engineer

experience in generative ai (open ai, anthropic, bedrock, gemeni, azure open ai).

compucom systems, inc. Provides end-to-end it managed services to enable the digital workplace for enterprise, midsize and small businesses. To enable our clients to focus on what matters most, 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. Your contributions will be essential in turning complex data into actionable insights and powering our data-driven decision-making processes.

• 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 java script.
• 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 numpy, 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 powerbi.
• 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, gemeni, 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 time-series forecasting is a plus.

the annual starting salary for this position is between $86,250 – $115,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

the company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, life insurance, ad&d insurance,…