Sr. Snowflake Engineer

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! Were looking for a **Sr. 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** **:**

+ Mastery of SQL is essential for querying, transforming, and optimizing data within Snowflake

+ Data Warehousing Concepts: Deep understanding of data warehousing principles, architectures (ETL/ELT), and OLAP systems

+ Cloud Computing: Proficiency with cloud platforms such as AWS, Azure, or Google Cloud (GCP), as Snowflake is a cloud-native data warehouse

+ Scripting and Programming: Strong skills in Python are highly valued, as well as familiarity with Java or Scala for building data pipelines and integrations

+ ETL Tools and Data Integration: Experience with ETL tools like Talend, Informatica, Matillion, or dbt for data ingestion, transformation, and migration

+ Performance Tuning: Ability to optimize queries and manage resources for efficient, scalable data processing

+ Data Modeling: Experience designing logical and physical data models to support analytics and reporting

+ Security and Compliance: Knowledge of data security, access control, encryption, and compliance with industry regulations

+ API Development: Familiarity with integrating Snowflake with other systems via APIs

**Skills & Qualifications:**

+ Bachelors 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., TensorFlow, 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.

+ Proficiency in BI tools such as Power BI or Qlik.

+ 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 $ **80,809 $118,519** 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, life insurance, AD&D insurance, disability plans, Employee Assistance Program, paid holidays (up to 12 days annually), paid time off (minimum of 10 days annually, which increases with seniority level), paid parental leave (minimum of 10 days annually), 401(k), FSA/HSA pre-tax benefits.

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

**Expiration Date** **: 8/18/2025**

**Equal Employment Opportunity** **:** Compucom is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

CompuCom is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, genetic information, sexual orientation, gender identity or expression, or any other status protected by law.