Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company's patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit
Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.
Brief Team/department Description
As a
Senior Data Engineer
on our team, you'll build and maintain scalable data pipelines and platforms using modern tools and techniques. You'll work closely with analysts, data scientists, and other engineers to ensure reliable, accessible, and high-quality data is available across our organization.
Principle Responsibilities
This role involves the following key responsibilities:
* Develop and maintain ETL/ELT workflows using SQL, Python, dbt, and Airflow
* Design and optimize data models in Snowflake and Postgres
* Collaborate with cross-functional teams to understand and implement data requirements
* Follow best practices in software development (version control, testing, CI/CD)
* Operate within an Agile/Scrum development environment
* Document systems, pipelines, and data flows clearly and concisely
Qualifications And Education Requirements
* 5 to 10 years of experience in modern data engineering
* Master's Degree in Data Science, Computer Science, Engineering or a related field
* Advanced Machine Learning Leadership knowledge
* Strong proficiency in SQL, Python, dbt, Airflow
* Experience with Snowflake and PostgreSQL
* Understanding of software engineering principles (modular code, testing, version control)
* Exposure to agile methodologies
* Experience with Palantir Foundry is a strong plus