Data Engineer

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.

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 executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

• Design, develop, and optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data. A knowledge of Medallion Architecture will be an added advantage.
• Build and manage graph database solutions (e. g. , Neo4j, Stardog, Amazon Neptune) to support knowledge graphs, relationship modeling, and inference use cases.
• Leverage SPARQL, Cypher, or Gremlin to query and analyze data within graph ecosystems.
• Implement and maintain data ontologies to support semantic interoperability and consistent data classification.
• Collaborate with architects to integrate ontology models with metadata repositories and business glossaries.
• Support data governance and metadata management through integration of lineage, quality rules, and ontology mapping.
• Contribute to data cataloging and knowledge graph implementations using RDF, OWL, or similar technologies.
• 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

• Master s/Bachelor s degree and 5 to 9 years of Computer Science, IT or related field experience
• Must have Skills:
• Bachelor s or master s degree in computer science, Data Science, or a related field.
• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), python for workflow orchestration, performance tuning on big data processing
• Proficiency in data analysis tools (eg. SQL)
• Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
• Strong programming skills in Python , PySpark , and SQL .
• Solid experience designing and querying Graph Databases (e. g. , Allegrograph, MarkLogic).
• Proficiency with ontology languages and tools (e. g. , TopBraid, RDF, OWL, Prot g , SHACL).
• Familiarity with SPARQL and/or Cypher for querying semantic and property graphs.
• Experience working with cloud data services (Azure, AWS, or GCP).
• Strong understanding of data modeling , entity relationships , and semantic interoperability .

• Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
• Knowledge of Python/R, Databricks, cloud data platforms
• Strong understanding of data governance frameworks, tools, and best practices.
• Knowledge of data protection regulations and compliance requirements (e. g. , GDPR, CCPA)
• Graph-DB related certifications

• AWS Certified Data Engineer preferred
• Databricks Certificate preferred

• Excellent critical-thinking and problem-solving skills
• Strong 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.

for a career that defies imagination

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

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.