Data Engineer

Overview

Amgen is seeking an experienced Data Engineer to design, develop, and support scalable data pipelines and integration solutions for analytics and AI use cases.

What you'll do

• Design, develop, test, and maintain scalable data pipelines and data-integration solutions.
• Build ETL/ELT processes for structured, semi-structured, and unstructured data.
• Integrate data from enterprise applications, databases, APIs, cloud platforms, and third-party systems.
• Implement data-quality checks, validation rules, reconciliation, logging, and exception handling.
• Optimize Spark workloads and SQL query performance, including partitioning and data-processing performance.
• Implement data-security, privacy, governance, and role-based access requirements.
• Support workflow orchestration, scheduling, monitoring, alerting, and recovery.

What you'll need

• 5–8 years of relevant professional experience.
• Hands-on experience with Databricks, Apache Spark, PySpark, Spark SQL, Python, and SQL.
• Experience with designing, developing, and supporting production ETL/ELT pipelines.
• Experience with workflow orchestration and scheduled data-processing workloads.
• Strong understanding of data modeling, data warehousing, lakehouse architecture, and data-integration concepts.
• Experience working with large and complex datasets.
• Experience with AWS or another major cloud platform.

Nice to have

• Experience in biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry.
• Experience with Delta Lake, Unity Catalog, Databricks Workflows, or comparable technologies.
• Experience supporting machine-learning or AI data pipelines.
• Experience developing Generative AI solutions using LLMs and related techniques.

Details

• Occasional off-hours support is included.