Job Description

Career Category EngineeringABOUT AMGENAmgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples 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 whats known today.ABOUT THE ROLERole Description:Lets do this. Lets change the world. We are seeking a skilled Data Engineer to join our Enterprise Data RunOps Team. This role will focus on the development, support, and optimization of data pipelines and operational workflows that power our enterprise data teams xe2x80x94enabling seamless data access, integration, and governance across the organization. The ideal candidate will be a hands-on engineer with a deep understanding of modern data architectures, strong experience in cloud-native technologies, and a passion for delivering reliable, well-governed, and high-performing data infrastructure in a regulated biotech environment.Roles & Responsibilities:Design, build, and support data ingestion, transformation, and delivery pipelines across structured and unstructured sources within the enterprise data engineering.Manage and monitor day-to-day operations of the data engineering environment, ensuring high availability, performance, and data integrity.Collaborate with data architects, data governance, platform engineering, and business teams to support data integration use cases across R&D, Clinical, Regulatory, and Commercial functions.Integrate data from laboratory systems, clinical platforms, regulatory systems, and third-party data sources into enterprise data repositories.Implement and maintain metadata capture, data lineage, and data quality checks across pipelines to meet governance and compliance requirements.Support real-time and batch data flows using technologies such as Databricks, Kafka, Delta Lake, or similar.Work within GxP-aligned environments, ensuring compliance with data privacy, audit, and quality control standards.Partner with data stewards and business analysts to support self-service data access, reporting, and analytics enablement.Maintain operational documentation, runbooks, and process automation scripts for continuous improvement of data fabric operations.Participate in incident resolution and root cause analysis, ensuring timely and effective remediation of data pipeline issues.Create documentation, playbooks, and best practices for metadata ingestion, data lineage, and catalog usage.Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental valueUse JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories.Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycleCollaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutionsMust-Have Skills:Build and maintain data pipelines to ingest and update metadata into enterprise data catalog platforms in biotech or life sciences or pharma.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.experience in data engineering, data operations, or related roles, with at least 2+ years in life sciences, biotech, or pharmaceutical environments.Experience with cloud platforms (e.g., AWS, Azure, or GCP) for data pipeline and storage solutions.Understanding of data governance frameworks, metadata management, and data lineage tracking.Strong problem-solving skills, attention to detail, and ability to manage multiple priorities in a dynamic environment.Effective communication and collaboration skills to work across technical and business stakeholders.Strong problem-solving and analytical skillsExcellent communication and teamwork skillsExperience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.Good-to-Have Skills:Data Engineering experience in Biotechnology or pharma industryExperience in writing APIs to make the data available to the consumersExperienced with SQL/NOSQL database, vector database for large language modelsExperienced with data modeling and performance tuning for both OLAP and OLTP databasesExperienced 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 OpsEducation and Professional CertificationsMasters degree and 3 to 4 + years of Computer Science, IT or related field experienceBachelors degree and 5 to 8 + years of Computer Science, IT or related field experienceAWS Certified Data Engineer preferredDatabricks Certificate preferredScaled Agile SAFe certification preferredSoft Skills:Excellent analytical and troubleshooting skills.Strong verbal and written communication skillsAbility to work effectively with global, virtual teamsHigh 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.EQUAL OPPORTUNITY STATEMENTAmgen 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..

Amgen