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, but few options.

Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs, but few options. 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, 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, visitneurocrine.com, and follow the company on LinkedIn, X (Formerly Twitter) and Facebook. (*in collaboration with AbbVie)

About the Role:

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• Collaborate with team members to develop & maintain data solutions for cross-functional stakeholders

• Empower cross-functional business & technical users with efficient access to high-quality data

• Design, develop & test data pipelines using code-based approaches, such as Python & SQL

• Design & troubleshoot processes with complex requirements (e.g. low latency, precision)

• Profile and communicate data quality issues to appropriate stakeholders

• Negotiate and address data quality concerns with upstream providers

• Deliver data models to support source accuracy & retention, shared & application specific use

• Create and maintain metadata that supports privacy, cost allocation, AI & business needs

• Administer data platforms and features relevant to the data engineering function

• Measure and propose improvement for the reliability of data pipelines

• Create and update documentation to support development work, definitions, and business rules

• Act as a data consultant to stakeholders on data utility issues.

• Manage assigned tasks & communication.

• Adhere to security, privacy and regulatory policies and guidelines.

• Other job-related duties as assigned

• Bachelor's Degree in Computer Science, Information Technology or a related field. and 4+years in a data engineering capacity in conjunction with the development/maintenance of data pipelines & ETL/ELT processes using code-based programming OR

• Master's Degree in Computer Science, Information Technology or a related field and 3+ years as noted above

• Strong experience connecting to a variety of data sources, such as file systems, databases & APIs

• Strong experience transforming data using common ETL/ELT patterns

• Strong experience creating data pipelines - running historical & incremental loads in batch & real-time

• Strong experience with programming languages, such as Python & SQL

• Experience with modern data platforms such as Databricks and/or Snowflake

• Experience with cloud services in AWS and/or Microsoft Azure

• Knowledge/Experience with data transformation frameworks such as Databricks DLT or dbt

• Experience w/ ingress, manipulation & egress of a variety of file formats, such as JSON, XML, CSV, etc.

• Experience testing, troubleshooting & establishing API connectivity utilizing software documentation and tools such as Postman

• Experience with data flow orchestration

• Experience translating business requirements into technical requirements and data models

• Experience with Git/GitHub, Jira, and Agile workflows a plus

• Experience in Neurocrine's technology stack is preferred (Cloud: AWS, Platform: Databricks, Language: Python, SQL, BI: Power BI, Integration: Workato)

• Knowledge of industry trends, best practices & operating principles.

• Well-versed in data profiling, data manipulation and data analysis.

• Ability to write complex queries on large data sets from disparate data sources

• Data Warehousing principles is a plus

• Knowledge and/or experience in predictive modeling and machine learning is a plus.

• Technical skill and/or ability to acquire in-depth knowledge/use of products to effectively position and convey the merits of the enterprise platform to customers and prospects.

• Understands key business drivers and uses this understanding to accomplish work

• Has strong understanding of processes, procedures and systems used to accomplish the work and recognizes downstream impact on other functional areas

• Proficient with tools and processes that support work conducted by functional area

• Ability to work as part of a team; may train lower levels.

• Excellent computer skills

• Strong communications, problem-solving, analytical thinking skills.

• Detail oriented yet can see broader picture for department.

• Ability to meet multiple deadlines, with a high degree of accuracy and efficiency.

• Strong project management skills.

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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