As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure our data pipelines are efficient, scalable, and reliable. Roles and Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes.Implement and optimize data models for performance and efficiency.Collaborate with cross-functional teams to understand data requirements and business needs.Work closely with data scientists to productionize machine learning models.Evaluate and implement new technologies to improve data infrastructure and processes.Document technical designs, processes, and best practices. Candidate Profile: Required Skills and Qualifications: Proficiency in SQL and one or more programming languages (e.g., Python, SAS).Experience with data modeling, ETL development, and data warehousing concepts.Experience with reporting tools SAS, SQL with BI Techniques would be a plus.Strong understanding of distributed computing and big data technologies (e.g., Hadoop, Spark).Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Strong communication and collaboration skills.Strong analytical and problem-solving skills with organizational capabilities and effective communication skills.A bachelor’s or master’s degree in software engineering or a related field.Strong US healthcare experience.