Data and AI Engineer

About this role

At SANDISK, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, SANDISK is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, SANDISK is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find SANDISK supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike.

Today’s exceptional challenges require your unique skills. It’s You & SANDISK. Together, we’re the next BIG thing in data

• Design, build, and maintain **scalable ETL/ELT pipelines** to ingest structured and unstructured data from SAP S/4HANA, Oracle, Salesforce, and third-party APIs into enterprise data lakes/lakehouses.
• Develop and optimize **data products** (medallion architecture) on platforms like **Databricks**
• Implement **data quality, lineage, and governance controls** using tools such as Purview, Alation, or Unity Catalog.
• Build, deploy, and monitor **ML models** (classification, regression, forecasting, anomaly detection) using Python, PySpark, scikit-learn, TensorFlow, or PyTorch.
• Develop **GenAI and LLM-powered solutions** — including RAG (Retrieval-Augmented Generation) pipelines, embeddings, vector databases (Pinecone, Azure AI Search), and prompt engineering for Copilot/A...