Senior Data Engineer

Career Category

Information Systems

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

What you will do

Role Description:

We are seeking a Senior Data Engineer with expertise in Graph Data technologies to join our data engineering team and 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 strong 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.

Own 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

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.

Strong understanding of graph theory, graph modeling, and traversal algorithms

Proficiency in workflow orchestration, performance tuning on big data processing

Strong 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.

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

Education and Professional Certifications

Master’s degree and 3 to 4 + years of Computer Science, IT or related field experience

Bachelor’s degree and 5 to 8 +  years of Computer Science, IT or related field experience

AWS Certified Data Engineer preferred

Databricks Certificate preferred

Scaled Agile SAFe certification preferred

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.

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.

Apply now

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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

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