Senior Data engineer – Research Data and Analytics

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What You Will Do

Let’s do this. Let’s change the world. In this vital role you will create and develop data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research collaborators. You will also provide technical leadership to junior team members. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes.

Roles & Responsibilities:

• Lead, manage, and mentor a high-performing team of data engineers
• Design, develop, and implement data pipelines, ETL processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
• Optimize large datasets for query performance
• Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
  
  

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

• Doctorate Degree OR
• Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
• Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
• Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field
  
  

Preferred Qualifications:

• 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms)
  
  

Functional Skills:

Must-Have Skills:

• Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
• Excellent problem-solving skills and the ability to work with large, complex datasets
• Able to engage with business collaborators and mentor team to develop data pipelines and data models
  
  

Good-to-Have Skills:

• A passion for tackling complex challenges in drug discovery with technology and data
• Good understanding of data modeling, data warehousing, and data integration concepts
• Good experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL)
• Knowledge of cloud data platforms (AWS preferred)
• Experience with data visualization tools (e.g. Dash, Plotly, Spotfire)
• Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming
• Experience writing and maintaining technical documentation in Confluence
• Understanding of data governance frameworks, tools, and best practices
  
  

Professional Certifications:

• Databricks Certified Data Engineer Professional preferred
  
  

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Good communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills
  
  

What You Can Expect Of Us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

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As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.