AI-Driven Biopharma Data Platform Engineer II

Allergan; North Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

AbbVie is building an AI-native PDST team to accelerate CMC data engineering, delivering production-grade pipelines and data products that power AI/ML and analytics across manufacturing and development.

You will integrate MES, LIMS, QMS, ERP and instrument data, ensure data quality and governance, and collaborate with scientists and engineers to create reliable, scalable data infrastructure.

Qualifications

• Bachelor's or master's degree in a technical field with applicable data engineering experience.

Responsibilities

• Design and build scalable data ingestion pipelines connecting CMC and manufacturing systems to centralized environments.
• Develop harmonized data models and ontologies across sites and modalities.
• Implement automated data quality controls, lineage, and governance for production pipelines.
• Deliver governed data products for AI/ML, including feature stores and vector-ready data layers.

Skills

Python data engineering

SQL proficiency

Cloud platforms

Data pipeline design

Data governance

Education

Bachelor's degree in CS/related field

Master's degree (optional)

Tools

dbt

Spark

Airflow

Databricks

Snowflake

Informatica

Talend

Apache NiFi

AWS Glue

Azure Data Factory

Job description

AbbVie is building an AI-native PDST team to accelerate CMC data engineering, delivering production-grade pipelines and data products that power AI/ML and analytics across manufacturing and development.

You will integrate MES, LIMS, QMS, ERP and instrument data, ensure data quality and governance, and collaborate with scientists and engineers to create reliable, scalable data infrastructure.