Senior Data Engineer (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. **Job Description** **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 (Airflow, Prefect, or Azure Data Factory) for **complex ML pipelines** . * Knowledge of unstructured data processing (text, images, logs) is a plus. * Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus. **Why you’ll love working here** * Impact from day one – Join a scale\-up where your ideas shape how global businesses operate online. * Continuous learning – Access a structured onboarding rated 9\.1/10 by previous hires, mentorship, and feedback culture. * Hybrid flexibility – Work from our office 3 days per week and from home 2 days. * Career growth – Expand your technical and leadership scope in a company built for long\-term success. **Our values** At Sana Commerce, our values drive everything we do: * Champions of Our League – *We deliver lasting success, balancing quick wins and long\-term value* * Supercharge Our Customers – *We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.* * Determined to Grow – *We embrace challenges, growing and raising the bar for ourselves and our industry.* * Bold Together – *We dare to be bold because we have each other’s back.* **Ready to build reliability that scales?** Apply now and help shape the foundation of our next\-generation SaaS platform. **Additional Information**