Data Engineer

About Dalton:Dalton is on a mission to make the world’s drug design more efficient. We are building the AI ecosystem for drug design and solving real-world problems that transform the efficiency of the pharmaceutical industry. Our mission is to harness cutting-edge technology and turn it into impactful products for our clients. Join us on our journey to revolutionize drug discovery and make a difference in the lives of patients worldwide. 

Why Join Dalton?Dalton offers an exciting and collaborative environment where you can contribute to improving the efficiency of the world’s drug discovery. We value innovation, creativity, and commitment. Join us in our mission to change the world. 

Role Overview:We are seeking a highly skilled and motivated Data Engineer to join our team dedicated to advancing drug discovery by translating the best AI Research intro drug discovery impact. The ideal candidate will have a strong background in data engineering and a passion for leveraging data to drive innovation in the pharmaceutical and biotechnology industries. 

If you are a dedicated and detail-oriented Data Engineer with a passion for drug discovery, we would love to hear from you. Apply now to become a part of our dynamic team and contribute to groundbreaking advancements in the field of technology and drug discovery. 

Requirements

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration from various sources, including public data, customer databases and laboratory instruments. 
• Collaborate with cross-functional teams, including data scientists, bioinformaticians, and software engineers, to ensure data is accurate, accessible, and usable for model building and analysis. 
• Implement and optimize data storage solutions, including relational and NoSQL databases, data lakes, and cloud-based storage platforms. 
• Develop and enforce data governance policies and practices to ensure data quality, consistency, and security. 
• Create and maintain comprehensive documentation of data sources, data flows, data models, and ETL processes. 
• Utilize data visualization tools to create dashboards and reports that provide insights into data trends and key performance indicators. 
• Monitor and troubleshoot data pipeline performance and data quality issues, implementing improvements as needed. 

Qualifications:

• Bachelor’s or master’s degree in computer science, cheminformatics, bioinformatics, or a related field. 
• Proven experience as a Data Engineer, preferably in the pharmaceutical or biotechnology industries. 
• Strong proficiency in programming languages such as Python and SQL 
• Experience with data pipeline and workflow management tools like Argo Workflows, Prefect or Temporal 
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud, including experience with their data services 
• Experience with big data technologies such as Spark, Kafka and Iceberg 
• Knowledge of data modeling, database design, and data warehousing concepts. 
• Proficiency in data visualization tools like Superset, Grafana or Metabase   
• Strong problem-solving skills and ability to work independently and as part of a team. 
• Excellent organizational and time-management skills. 
• Passion for drug discovery and a desire to make a significant impact in the field