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Sr. BI​/DW Engineer

Job in Salem, Marion County, Oregon, 97311, USA
Listing for: CompuCom
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
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.

** responsibilities*
* + 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.

** skills & qualifications*
* + 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.

** preferred qualifications:*
* + 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.

** wage range**  **:*
* The annual starting salary for this position is between $90,000 - $120,000 annually.  Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

** benefits** :

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