Senior Data Engineer

Career Category

Job Description

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.

Senior Data Engineer

What you will do

Let’s do this. Let’s change the world. In this vital role We are looking for highly motivated expert Senior Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.

Roles & Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Fabric.

• Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture.

• Optimize big data processing frameworks using Apache Spark, Hadoop, or similar distributed computing technologies to ensure high availability and cost efficiency.

• Work with metadata management and data lineage tracking tools to enable enterprise-wide data discovery and governance.

• Ensure data security, compliance, and role-based access control (RBAC) across data environments.

• Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets.

• Develop CI/CD pipelines for automated data pipeline deployments, version control, and monitoring.

• Implement data virtualization techniques to provide seamless access to data across multiple storage systems.

• Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.

• Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architecture.

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 9 to 12 years of Computer Science, IT or related field experience

• AWS Certified Data Engineer

• Databricks Certification

Preferred Qualifications:

Must-Have Skills:

• Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.

• Proficiency in workflow orchestration, performance tuning on big data processing.

• Strong understanding of AWS services

• Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures.

• Ability to quickly learn, adapt and apply new technologies

• Strong problem-solving and analytical skills

• Excellent communication and collaboration skills

• Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.

Good-to-Have Skills:

• Good to have deep expertise in Biotech & Pharma industries

• Experience in writing APIs to make the data available to the consumers

• Experienced with SQL/NOSQL database, vector database for large language models

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases

• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.

Soft Skills:

• Excellent analytical and troubleshooting skills.

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation.

• Ability to manage multiple priorities successfully.

• Team-oriented, with a focus on achieving team goals.

• Ability to learn quickly, be organized and detail oriented.

• Strong presentation and public speaking 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.