Data Science Engineer

Basic Qualifications

• Bachelors degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• 6+ years of data engineering experience in designing, implementing, and optimizing large-scale data systems.
• Strong proficiency in Python, with production-level experience in building reusable, scalable data pipelines.
• Hands-on expertise with Databricks (Delta Lake, Spark, MLflow), and modern orchestration frameworks (Airflow, Prefect, Dagster, etc.).
• Proven track record of deploying and supporting AI/ML pipelines in production environments.
• Experience with cloud platforms (AWS, Azure, or GCP) for building secure and scalable data solutions.
• Familiarity with regulatory compliance and data governance standards in healthcare or life sciences.

Preferred Qualifications

• Experience with event-driven systems (Kafka, Kinesis) and real-time data architectures.
• Stron...