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 be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data 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:

• Design, develop, and maintain data solutions for data generation, collection, and processing

• Be a crucial team member that assists in design and development of the data pipeline

• Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

• Implement data security and privacy measures to protect sensitive data

• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

• Collaborate and communicate effectively with product teams

• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions

• Identify and resolve complex 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.

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

Preferred Qualifications:

Must-Have Skills:

• Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools

• Excellent problem-solving skills and the ability to work with large, complex datasets

• Solid understanding of data governance frameworks, tools, and best practices.

• Knowledge of data protection regulations and compliance requirements

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

• Good understanding of data modeling, data warehousing, and data integration concepts

• Knowledge of Python/R, Databricks, SageMaker, cloud data platforms

Professional Certifications

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

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 and make a lasting impact with the Amgen team.

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.