Data Engineer

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.

Data Engineer

What you will do

Let’s do this. Let’s change the world. In this vital role you will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative brings to bear innovative technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content.

The role is responsible for sourcing and analyzing data for this initiative and support designing, building, and maintaining the data pipelines to drive business actions and automation. This role involves working with Operations source systems, find the right data sources, standardize datasets, supporting data governance to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

Roles & Responsibilities:

• Identify, extract, and integrate required business data from Operations systems residing in modern cloud-based architectures.
• Design, develop, test and maintain scalable data pipelines, ensuring data quality via ETL/ELT processes.
• Schedule and manage workflows the ensure pipelines run on schedule and are monitored for failures.
• Implement data integration solutions and manage end-to-end pipeline projects, including scope, timelines, and risk.
• Reverse-engineer schemas and explore source system tables to map local representations of target business concepts.
• Navigate application UIs and backends to gain business domain knowledge and detect data inconsistencies.
• Break down information models into fine-grained, business-contextualized data components.
• Work closely with multi-functional teams, including product teams, data architects, and business SMEs, to understand requirements and design solutions.
• Collaborate with data scientists to develop pipelines that meet dynamic business needs across regions.
• Create and maintain data models, dictionaries, and documentation to ensure accuracy and consistency.
• Adhere to SOPs, GDEs, and standard processes for coding, testing, and reusable component design.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR
• Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR
• Diploma and 7 to 9 years of Computer Science, IT or related field experience

Functional Skills:

Must-Have Skills:

• Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, Prophecy, Gitlab, LucidChart etc
• Proficiency in data analysis tools (eg. SQL) and experience with data sourcing tools
• Excellent problem-solving skills and the ability to work with large, complex datasets
• Understanding of data governance frameworks, tools, and standard methodologies.
• Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA)

Good-to-Have Skills:

• Experience with ETL tools and various Python packages related to data processing, machine learning model development
• Solid understanding of data modeling, data warehousing, and data integration concepts
• Knowledge of Python/R, Databricks, cloud data platforms

Professional Certifications

• Certified Data Engineer / Data Analyst (preferred on Databricks)

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

Equal opportunity statement

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with 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 an accommodation.

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.

careers.amgen.com

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.