Data Engineer

• Design, build, and optimize scalable data integration pipelines from cloud, on-premise, and API sources
• Transform and cleanse raw data for advanced analytics and business intelligence
• Automate manual data preparation tasks using modern data architectures and tools
• Monitor system performance, troubleshoot bottlenecks, and optimize workflows
• Implement data quality checks and governance standards to ensure data integrity
• Partner with data scientists and analysts to optimize machine learning models
• Enable business stakeholders to effectively consume data
• Work closely with IT and business stakeholders to operationalize reliable data solutions

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field
• Proven experience in data management, including data integration, modeling, optimization, and quality
• Experience developing analytical platforms that drive concrete business value
• Strong background collaborating with cross-functional teams and business stakeholders on enterprise data initiatives
• Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP engines
• Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Kafka, Airflow, and Spark
• Intermediate experience with BI tools such as PowerBI, Tableau, or Looker
• Experience building data solutions supporting AI, ML, and BI initiatives
• Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or similar tools
• Expert problem-solving and debugging skills
• Excellent communication skills for translating complex technical concepts to executive, business, IT, and quantitative stakeholders
• High ethical standards and strong commitment to regulatory compliance

• Remote work option
• Collaborative and passionate team environment
• Opportunity to contribute to work that helps bring safe and effective pharmaceutical treatments to patients
• Diverse and inclusive workplace where everyone is welcome and every voice counts