Data Engineer, PDS&T CMC
Core
Design, build, and operate production-grade data pipelines and data products to power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem.
Role type
Senior Data Engineer (AI-native, pharmaceutical manufacturing)
Builds
Enterprise-scale data pipelines, harmonized data assets, feature stores, and vector-ready data layers for RAG/LLM applications
Domain
Biopharma / Pharmaceutical Manufacturing / CMC (Chemistry, Manufacturing, and Controls)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Cloud data platforms (AWS/Azure/GCP), ETL/ELT tools (dbt, Spark, Airflow, Databricks, Snowflake), Data modeling, Data governance, API development, Infrastructure as code
Preferred skills
Pharmaceutical/biotech domain knowledge, GxP compliance experience, Manufacturing system integration (MES, LIMS, QMS, ERP), AI/ML infrastructure experience
Technologies
Python, SQL, AWS, Azure, GCP, dbt, Spark, Airflow, Databricks, Snowflake, Informatica, Talend, Apache NiFi, AWS Glue, Azure Data Factory, Erwin, PowerDesigner
Responsibilities
Design and implement scalable data ingestion pipelines connecting MES, historians, LIMS, QMS, and ERP systems; Develop and maintain harmonized data models and ontologies for CMC data; Implement automated data quality controls, validation frameworks, and anomaly detection; Architect and deliver governed, versioned data products for AI/ML consumption; Contribute to cloud-based data platform design including lakehouse architecture and CI/CD pipelines
Seniority
Senior, hands-on IC