Data Engineer

Career Category

Information Systems

Job Description

As a Data Engineer supporting Law data strategy, you will design, build, and maintain scalable data pipelines that integrate data from legal systems into Amgen’s enterprise data fabric.

You will enable high-quality, governed datasets that support analytics, reporting, and emerging AI/ML use cases for Legal and Compliance teams.

This role requires strong hands-on engineering skills, familiarity with modern data platforms (e.g., Databricks), and the ability to work closely with Legal stakeholders, Data Architects, and AI/Analytics teams.

Key Responsibilities

Data Engineering & Pipeline Development

• Design, develop, and maintain data pipelines to ingest data from legal systems, third-party tools, and enterprise platforms

• Build and optimize ETL/ELT pipelines using modern frameworks (Databricks, Spark)

• Implement reliable, scalable, and production-ready data pipelines using engineering best practices, monitoring, and automated validation frameworks

• Integrate structured and unstructured legal data into the enterprise data fabric

• Ensure reliability, scalability, and performance of data pipelines

Databricks & Modern Data Platform

• Develop pipelines using Databricks (Delta Lake, Spark, notebooks)

• Implement data transformation and orchestration workflows

• Support migration and modernization of legacy data solutions to cloud-native platforms