We’re looking for a Data Engineer .This team is responsible for building scalable, reliable data pipelines that enable the development and deployment of machine learning models throughout the enterprise using AWS SageMaker. What You’ll Do You’ll help lay the foundation for data infrastructure that supports real-time and batch ML workflows. As part of a cross-functional team, you’ll partner with data scientists and ML engineers to design and deliver curated, production-ready datasets for model training and inference. Your work will be key to how machine learning scales across the organization. Who You Are We’re seeking an early-career data engineer with a passion for machine learning and data architecture. You’ve worked on ML-adjacent projects or collaborated closely with data science teams, and you’re eager to deepen your skills in building systems that power intelligent applications. You should bring: • Proficiency in SQL and Python • Familiarity with data tools like Snowflake, DBT, or modern cloud data platforms • A collaborative mindset and strong communication skills • Enthusiasm to work with ML platforms such as SageMaker or Databricks (experience is great, but we’re open to helping you learn)