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
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Build and operate large-scale healthcare data pipelines across batch workflows, metadata-driven ingestion, and data service publishing.
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Own end-to-end engineering from source ingestion to conformed data products, with strong focus on reliability, data quality, and operational observability.
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Partner with analytics, business, and platform teams to deliver trusted datasets for sales, claims, activity, patient, and rare disease use cases.
Key Responsibilities
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Design and maintain PySpark/SQL pipelines in Databricks for landing, unified, unstitched, and published data layers.
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Build and support Airflow DAGs for scheduling, dependencies, retries, and production operations.
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Implement metadata/config-driven frameworks for ingestion, transformation, and rule-based processing.
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Develop robust data quality controls, DQ summaries, failure handling, and alerting workflows.
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Manage batch/process audit logs, run status tracking, release flags, and operational reporting.
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Integrate multi-source data (files, APIs, cloud storage, and relational systems) into governed Delta/Spark tables.
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Optimize pipeline performance using partitioning, parallelization, and query tuning.
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Collaborate on schema evolution, business-rule onboarding, and production support.
Required Skills
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Bachelor’s degree in Computer Science, Information Technology, or a related field with 5-9 years of relevant experience.
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Advanced Python, PySpark, and SQL (window functions, complex joins, MERGE patterns, optimization).
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Hands-on Databricks and Airflow experience in enterprise environments.
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Experience with cloud data platforms (AWS), object storage, and secure secret handling.
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Strong data quality engineering, monitoring, and troubleshooting in regulated data contexts.
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Solid understanding of ETL orchestration, dependency management, and SLA-driven delivery.
What you can expect of us
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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.
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In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
and make a lasting impact with the Amgen team.
careers.amgen.com
