Neurocrine Biosciences is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure using modern cloud technologies to translate business requirements into technical solutions that deliver valuable insights to drive business outcomes.
Requirements
- 4+ years of experience in data engineering roles with a focus on building and maintaining data pipelines
- Strong experience with cloud-based data platforms, preferably Databricks and/or Snowflake
- Proficiency in SQL and at least one programming language (Python, Scala, etc.)
- Experience designing dimensional data models and implementing ETL/ELT processes
- Strong foundation in software engineering principles including version control, CI/CD, and testing
- Experience with data orchestration tools (Airflow, Azure Data Factory, etc.)
- Knowledge of data governance, security, and compliance considerations
Responsibilities
- Design, develop, and maintain robust data pipelines using code-based ETL/ELT processes
- Build and optimize data models to support analytics and reporting needs across multiple business domains
- Integrate data into new and existing processes to improve data access and utilization
- Implement access controls, data quality checks and monitoring to ensure data security, integrity and reliability
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions
- Mentor junior team members and contribute to establishing best practices and standards
- Lead small to medium-sized projects independently, from requirements gathering to implementation
Other
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to collaborate with technical and non-technical stakeholders
- Experience in the pharmaceutical or life sciences industry
- Familiarity with healthcare data sources and regulatory requirements
- Familiarity with agile development methodologies
