Data Engineer II

Paige is a technology company helping pathologists, oncologists and clinicians make faster, more informed diagnostic and treatment decisions in cancer, through the use of advanced Artificial Intelligence (AI). We are uniquely positioned to do this by mining decades of data from the world’s experts in cancer care and are now leading in the digital transformation in cancer pathology and diagnostics. 

Paige is the first company to develop clinical grade AI tools for the pathologist, which resulted in our receiving the first FDA approval for an AI product in pathology. Paige has also received FDA-clearance for our digital viewer, FullFocusTM and recently, CE-IVD clearance in Europe and UK for our diagnostic AI in prostate and breast cancer. We have also established multiple relationships with biopharma, laboratory and equipment manufacturers that enables Paige to develop a full solution for busy laboratories, ready to help patients receive better diagnoses and treatment. 

In this role, we are seeking a Data Engineer II to work on exciting projects as part of a joint partnership between Paige and Memorial Sloan Kettering (MSK). While working as an employee of MSK, you will be an integral member of their Digital Pathology team focused on Paige funded projects whereby you will meet the challenge of converting pathology from an analog to a digital practice. Your work will include creating pipelines to consolidate and deliver vital data that will drive research and analytics focused on improving patient care. 

Key Responsibilities 

• Engineer infrastructure and tools that automate delivering critical data to downstream systems and industry partners
• Design and build backend integrations using various technologies and taking a creative approach when working with legacy systems
• Engineer features of the data platform that will help ensure quality and robustness
• Collaborate in an agile team with Product Owners, Scrum Masters, System Architects, other Development Teams and Users
• Participate in full SAFe and Agile development life cycle including analysis, design, build and release of data pipelines 

About You 

• Proficient in relational database schema and query design (i.e., SQL) 
• Proficient in using scripting languages such as Python and bash 
• Proficient with industry standard tools for ETL design and automation (e.g., DataStage, Airflow, Prefect) 
• Familiar with Linux environments and server administration 
• Experience using Docker, Kubernetes or similar container technologies and setting up CI/CD pipelines is a plus
• Experience designing RESTful APIs is a plus
• Experience and familiarity with Cloud providers (AWS, Azure) is a plus
• You are a highly skilled data engineer who is comfortable working with large volumes of data
• Can design and develop complex solutions using modern practices and technologies
• You consider yourself an eager, self-starting learner who can quickly pick up new technologies