Sr. Data Engineer (San Diego based)

Who We Are:

At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs.

What We Do:

Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. (*in collaboration with AbbVie)

About the Role:

We are seeking a talented Senior Data Engineer to join our growing team of data architects and engineers. In this role, you will design, build, and maintain scalable data pipelines and infrastructure using modern cloud technologies. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that deliver valuable insights to drive business outcomes.

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Your Contributions:

• 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

• Stay current with emerging technologies and recommend improvements to our data architecture

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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