Senior 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.

Senior Data Engineer

What you will do

Let’s do this. Let’s change the world. In this vital role you will contribute to the development of scalable, high-performance data pipelines and advanced data models that power next-generation applications and analytics. This role combines core data engineering skills with specialized knowledge in graph data structures, graph databases, and relationship-centric data modeling, enabling the organization to leverage connected data for deep insights, pattern detection, and advanced analytics use cases. The ideal candidate will have a solid background in data architecture, big data processing, and Graph technologies and will work closely with data scientists, analysts, architects, and business stakeholders to design and deliver graph-based data engineering solutions. .

Roles & Responsibilities:

• Design, build, and maintain robust data pipelines using Databricks (Spark, Delta Lake, PySpark) for complex graph data processing workflows.

• Lead the implementation of graph-based data models, capturing complex relationships and hierarchies across domains.

• Build and optimize Graph Databases such as Stardog, Neo4j, Marklogic or similar to support query performance, scalability, and reliability.

• Implement graph query logic using SPARQL, Cypher, Gremlin, or GSQL, depending on platform requirements.

• Collaborate with data architects to integrate graph data with existing data lakes, warehouses, and lakehouse architectures.

• Work closely with data scientists and analysts to enable graph analytics, link analysis, recommendation systems, and fraud detection use cases.

• Develop metadata-driven pipelines and lineage tracking for graph and relational data processing.

• Ensure data quality, governance, and security standards are met across all graph data initiatives.

• Mentor junior engineers and contribute to data engineering best practices, especially around graph-centric patterns and technologies.

• Stay up to date with the latest developments in graph technology, graph ML, and network analytics.

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 4 to 6 years of Computer Science, IT or related field experience

• Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience

Preferred Qualifications:

Must-Have Skills:

• Hands-on experience in Databricks, including PySpark, Delta Lake, and notebook-based development.

• Hands-on experience with graph database platforms such as Stardog, Neo4j, Marklogic etc.

• Good understanding of graph theory, graph modeling, and traversal algorithms

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

• Good understanding of AWS services

• Ability to quickly learn, adapt and apply new technologies with strong problem-solving and analytical skills

• Excellent collaboration and communication skills, with experience working with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.

• AWS Certified Data Engineer preferred

• Databricks Certificate preferred

• Scaled Agile SAFe certification preferred

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.