Sr Data Engineer
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Aug 5, 2026. Amgen scores A on the Alion truth index.
Career Category
Information SystemsJob Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, making people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establishthe biotechnology industry more than 40 years ago and remainson the cutting edgeof innovation, using technology and human genetic data to push beyond what’sknown today.
ABOUT THE ROLE
Role Description:
Let’sdo this. Let’schange the world. We are looking for highly motivated expert Senior Data Engineer who can own the design & development ofcomplex data pipelines, solutionsand frameworks with detailed functional knowledge of R&D. The ideal candidate will be responsible to design, develop, and optimizedata pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertisein 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 maintainscalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Engineering for Biotech or Pharma functional knowledge of R&D.
Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture.
Optimizebig 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.
Optimizequery 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 architectures.
Must-Have Skills:
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQLApache Spark, AWS, Python, SQL, and Scaled Agile methodologies.
Proficiencyin workflow orchestration, performance tuning on bigdata 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 teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.
Good-to-Have Skills:
Good to have deep expertisein 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 relevant Computer Science, ITor related field experience OR
Bachelor’s degree and 5 to 8 + years of relevant Computer Science, ITor related field experience
AWS Certified Data Engineer preferred
Databricks Certificate preferred
Scaled Agile SAFecertification 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 organizedand detail oriented.
Strong presentation and public speaking skills.
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