IT Principal Data Engineer, Data Solutions- (Onsite)

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:

Leverages expertise in Data Engineering to influence operational teams, partnering closely with data consumers and producers to ensure quality and usefulness of data assets.

You will design and implement scalable data pipelines, data transformation workflows, and leverage advanced technologies to support data-driven initiatives across drug development, commercial and operations.

Our target candidate has deep expertise in the following data platforms and competencies: Databricks for Data Engineering (ETL/ELT), SQL for data transformation, dbt (data built tools) or similar for pipeline orchestration, dimensional modeling, GitHub Enterprise or similar for VCS and CI/CD, Atlassian Jira and Confluence for project-based tracking.

Our ideal candidate has working experience with Monte Carlo or similar for monitoring data and pipeline quality, and Data Governance experience to support access and privacy needs (CCPA and GDPR).

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Your Contributions (include, but are not limited to):

• Acquiring/ingesting large varieties of structured and semi-structured data

• Architecting & modeling data

• Transforming data

• Ensuring data quality, governance and enablement

• Developing at scale and improving efficiency

• Leading projects

• Collaborating with cross-functional teams to understand business requirements

• Optimizing data and pipelines for performance, cost-efficiency, and scalability

• Mentoring others in data engineering and data modeling

• Measuring data utilization and quality to surface progress and improvement opportunities

• Lead business enablement sessions, code reviews & documentation

• Leading adoption of technologies and patterns that enhance data engineering capabilities

• Leading adoption of technologies and patterns that enable distributed data governance and adherence to policies and regulations

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Requirements:

• Bachelor's Degree in Computer Science, Information Technology or a related field and 6+ years in Data/Software Engineering role with relevant exposure to data ecosystems

• Master's Degree in Computer Science, Information Technology or a related field and 4+ years as noted above

• Expertise in Python or other modern programming language development experience

• Knowledge of advanced level capabilities in SQL; relational and analytical database experience

• Solid working knowledge of ETL/ELT, Data Modeling, Data Quality, Data Visualization / Dashboarding

• Solid working knowledge of software development practices: agile/lean methodologies, version control systems (VCS), code reviews, CI/CD

• Experience with cloud-based data platforms (e.g. Databricks, Snowflake)

• Experience with cloud-based infrastructure (e.g. AWS) and related services (e.g. S3, Lambda, Redshift, Athena)

• Experience with data and pipeline performance tuning and optimization

• Experience independently managing projects

• Experience communicating technical concepts to non-technical teams

• Expert in Databricks on AWS

• Experience with technologies that increase data ingestion and curation speed, such as Fivetran and dbt

• Experience with dimensional modeling (e.g. Kimball methodology)

• Experience with Power BI Datasets and DAX language

• Experience in industry - Pharmaceuticals or Biotech; working with Commercial / Sales

• Working knowledge of sociotechnical systems needed for effective data governance – e.g. domain ownership, metadata management, use of Attribute-based access controls (ABAC)

• Working knowledge of design patterns to support data privacy policies – e.g. tokenization, masking, etc.

• Experience with Terraform

#LI-TM1

Neurocrine Biosciences is an EEO/AA/Disability/Vets employer.

We are committed to building a diverse, equitable, and inclusive workplace, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don’t line up to exactly what we have outlined in the job description.

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The annual base salary we reasonably expect to pay is $130,100.00-$188,550.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 30% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.