SeniorDataEngineer(ML/AI)

What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. Our mission is simple: help businesses build stronger relationships through seamless digital commerce. At Sana Commerce, we're looking for a Data Engineer (ML/AI) to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business. What you'll be doing * Designing and maintaining data pipelines optimized for ML/AI workloads , including handling of large-scale, unstructured, and semi-structured data. * Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models. * Collaborating with Data Scientists and ML Engineers to understand data requirements for training, validation, and production deployment. * Ensuring data quality, lineage, and governance meet standards required for AI/ML applications. * Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows. * Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing. ## Qualifications What you bring * 8+ years of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to ML/AI-related data workflows. * College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar; * Excellent analytical and problem-solving skills; * Experience with data preparation for ML/AI : managing large datasets, feature engineering, and real-time or batch data pipelines. * Familiarity with MLOps concepts and how data engineering supports model lifecycle management. * Experience with orchestration frameworks (A