Data Engineer, Data Science & Advanced Analytics

At Horizon Therapeutics, we define success by the number of lives touched, lives changed, and lives saved. Our global biotechnology company is made up of agile, out-of-the-box thinkers with a focus on delivering breakthrough medicines to those living with rare, autoimmune, and severe inflammatory diseases. This is the heart of our global mission. Start a career that enables you to live up to your potential and help others live up to theirs. Join us.

The exceptional support we provide patients and communities equally extends to our employees. We offer industry-leading and award-winning benefits, compensation and rewards programs that positively impact all areas of our employees' personal and professional lives.

Position Summary:

The Data Engineer is expected to serve as a subject matter expert on available datasets, and will play an integral role in our AI/ML production pipeline. Frequently, the data engineer will work hand-in-hand with a data scientist to produce the datasets necessary for modeling or insights generation. They will also be responsible ingesting, manipulating, and managing the highly complex data used by the broader analytics team. This role provides dev ops and optimization support to a small team of data scientists, and should have a strong software development background. The Data Engineer role is ideally suited for an intellectually curious and forward-thinking candidate with a strong technical background. The right candidate will be self-directed and able to handle multiple projects and deadlines. The Data Engineer should be enthusiastic about learning new technologies and applying them solve data problems efficiently.

Qualifications and Skills Required:

• BS in Software Engineering, Computer Science, Information Technology, or other technical discipline
• Master's degree in a related field preferred but not required
• 1-2 years' experience in a data engineering capacity, or comparable academic achievement
• Advanced programming knowledge related to data manipulation, extraction, and automation. Proven experience with python.
• Familiarity working data at scale, particularly in a cloud environment. Demonstrated familiarity with distributing computing tools, such as pyspark
• Ability to manage multiple projects in an ambiguous environment with shifting priorities and time-pressure
• Ability to translate business questions into clearly documented data manipulation and ETL procedures
• Excellent problem solving capabilities
• Strong communication skills (verbal and written); proven ability to work cross functionally and liaise across a complex set of stakeholders
• Experience generating data, including from APIs, web scraping, or behavior logging
• Expert at: Microsoft Office (Word, Excel, PowerPoint, Outlook)

Our Values

• Transparency: We value collaboration. Trusting teach other and tackling tough challenges can make a powerful difference.
• Accountability: We do what's right for our patient communities through quality decisions and owning our successes and failures.
• Growth: We fiercely innovate and evolve to better ourselves, our communities and our patients.

These three values come to life through our five Leadership Expectations that apply to all Horizon employees

• Enterprise Mindset: Look beyond one's team, brand or function to see the broader company and external perspective
• Exhibit Intellectual Curiosity: Seek to understand what you do not know; ask the right questions of the right people and sources
• Ensure Accountability and Courage: Step up to address difficult issues and hold self and others accountable to commitments
• Embrace Diverse Perspectives: Welcome others with a respectful attitude; integrate diverse perspectives into ways of working
• Develop Talent: Provide feedback, coaching and mentorship to help others be more effective in their role

At Horizon, we know that disease does not discriminate. We embrace the bold ideas of one another, foster a sense of belonging, and value inclusion. We attract and develop diverse talent because we believe that when people from different backgrounds and life experiences come together, we make lives better.

Horizon intends that all qualified applications are given equal opportunity, and that selection decisions be based on job-related factors. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristics protected by law.