- Location
- Durham, NC
- Workplace
- Onsite
- Department
- Information Technology
- Experience
- 5+ years
- Education
- Master
- Source
- Lever
Description
At BioAgilytix, we are passionate about premier science and the impact it has on our world. Our team of highly experienced scientists and professionals deliver tailored services for supporting new medicine breakthroughs with best-in-class bioanalytical services. We are tirelessly committed to our customers by being solution-oriented and deadline-driven. . . and we are growing. Our culture is fast-paced, fun and never boring. Because we work across numerous clients and drug modalities, your career can develop rapidly. You’ll gain experience with a variety of challenges all while you enable life-changing, life-saving therapeutics to the patients who need them.
The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting BioAgilytix's Enterprise Data Platform. This role develops scalable, validated, production-ready data pipelines, enterprise data models, and certified data products supporting laboratory operations, scientific analytics, sponsor reporting, regulatory compliance, and AI initiatives.
Working under the direction of the Data Management Lead, and collaborating with cross-functional stakeholders, this role implements modern data engineering practices including Snowflake, dbt, dimensional modeling, semantic modeling, CI/CD automation, DataOps and enterprise data governance standards.
Working under the direction of the Data Management Lead, and collaborating with cross-functional stakeholders, this role implements modern data engineering practices including Snowflake, dbt, dimensional modeling, semantic modeling, CI/CD automation, DataOps and enterprise data governance standards.
Skills
PythonAWSAzureCI/CDSQLMachine LearningSnowflakeData ScienceData EngineeringETLGitGitHubTableauPower BIRESTGraphQLComplianceERPHIPAA
