Top Data & Analytics Jobs

Lead Data Engineer role at a leading industrial distributor focusing on centralizing and integrating high-quality, complex data sets in a scalable cloud platform. Responsibilities include designing data pipelines, working with architects, implementing data models, enabling data discovery, building frameworks, and mentoring team members. Requires 10 years of experience in modern data engineering projects and proficiency in various technologies and tools like AWS, Snowflake, Python, Docker, Kubernetes, and BI tools like Tableau and PowerBI.

The Senior Staff Data Engineer will design and develop scalable data pipelines, integrate complex data sets for analysis, and build data products on a cloud-native platform. Responsibilities include collaborating with teams to implement data models, ensuring data quality, mentoring, and advocating best practices in data engineering.

The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.

As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.