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 .