AI-Driven Data Engineer for CMC & Manufacturing

ABBVIE; North Chicago (IL); On-site; USD 97,000 - 184,000; Full time

Job summary

AbbVie’s PDST team seeks a Scientific Technical Engineer to design and operate production-grade data pipelines powering AI/ML in biopharma. You will integrate MES, LIMS, QMS, ERP, and instrument data across CMC and manufacturing to deliver governed data assets for scientists and engineers.

You will own data ingestion, harmonization, quality, and governance, build scalable ETL/ELT pipelines, and collaborate with process scientists and manufacturing engineers to accelerate regulatory submissions

Qualifications

• Bachelor's degree in computer science, data engineering, information systems, or a closely related field.

Responsibilities

• Design scalable data ingestion pipelines connecting MES, historians, LIMS, QMS, ERP and instrument data.

Skills

Ownership orientation

Solution-architect instinct

Scientific integrity

Influence through credibility

Bias for impact

Education

Bachelor's Degree in Computer Science or related field

Master’s Degree in a related field

PhD in a related field

Tools

Python

SQL

AWS/Azure/GCP

dbt

Spark

Airflow

Databricks

Snowflake

Informatica

Talend

Apache NiFi

Job description

AbbVie’s PDST team seeks a Scientific Technical Engineer to design and operate production-grade data pipelines powering AI/ML in biopharma. You will integrate MES, LIMS, QMS, ERP, and instrument data across CMC and manufacturing to deliver governed data assets for scientists and engineers.

You will own data ingestion, harmonization, quality, and governance, build scalable ETL/ELT pipelines, and collaborate with process scientists and manufacturing engineers to accelerate regulatory submissions