Data Engineer

Career Category

Information Systems

Job Description

Data Engineer (GCF 4)

What you will do

Let’s do this. Let’s change the world. We are looking  for a talented Data Engineer, who is curious to learn and able to develop data engineering and data analytics solution in a fast-moving environment.  Candidate will work closely with senior data engineer and product owner/business analyst to understand the requirement. 

Role Summary

• Build and operate large-scale healthcare data pipelines across batch workflows, metadata-driven ingestion, and data service publishing.
• Own end-to-end engineering from source ingestion to conformed data products, with strong focus on reliability, data quality, and operational observability.
• Partner with analytics, business, and platform teams to deliver trusted datasets for sales, claims, activity, patient, and rare disease use cases.

Key Responsibilities

• Design and maintain PySpark/SQL pipelines in Databricks for landing, unified, unstitched, and published data layers.
• Build and support Airflow DAGs for scheduling, dependencies, retries, and production operations.
• Implement metadata/config-driven frameworks for ingestion, transformation, and rule-based processing.
• Develop robust data quality controls, DQ summaries, failure handling, and alerting workflows.
• Manage batch/process audit logs, run status tracking, release flags, and operational reporting.
• Integrate multi-source data (files, APIs, cloud storage, and relational systems) into governed Delta/Spark tables.
• Optimize pipeline performance using partitioning, parallelization, and query tuning.
• Collaborate on schema evolution, business-rule onboarding, and production support.

Required Skills

• Bachelor’s degree in Computer Science, Information Technology, or a related field with 5-9 years of relevant experience.
• Advanced Python, PySpark, and SQL (window functions, complex joins, MERGE patterns, optimization).
• Hands-on Databricks and Airflow experience in enterprise environments.
• Experience with cloud data platforms (AWS), object storage, and secure secret handling.
• Strong data quality engineering, monitoring, and troubleshooting in regulated data contexts.
• Solid understanding of ETL orchestration, dependency management, and SLA-driven delivery.

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.
• In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

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