Senior Data Engineer, AI-Driven Biopharma Platform

BioSpace; North Chicago (IL); On-site; USD 145,000 - 185,000; Full time

Job summary

AbbVie is seeking a Principal Data Engineer to design and operate production-grade data pipelines and data products powering AI/ML across the CMC and manufacturing ecosystem. You will harmonize data from MES, LIMS, QMS, ERP, and instrument platforms into governed, semantically rich assets for data scientists and AI systems.

You will collaborate with process scientists, engineers, and leadership to ensure scalable data infrastructure, strong data quality, and reliable data availability for

Qualifications

• Bachelor's degree or higher in a technical field with significant data engineering experience.
• Proven track record designing and building enterprise-grade data pipelines in complex multi-source environments.
• Strong Python and SQL skills with experience in cloud data platforms and modern data tooling.

Responsibilities

• Design, build, and operate production-grade data pipelines and data products powering AI/ML.
• Collaborate with data scientists and engineers to define data requirements and models.
• Ensure data quality, lineage, and governance across CMC and manufacturing data sources.
• Enable AI/ML by delivering reusable data assets, feature stores, and vector-ready data layers.

Skills

Python

SQL

Data Engineering

ETL/ELT pipelines

Data Governance

AI/ML workflows

Education

Bachelor's in Computer Science or related field

Master's preferred

Tools

dbt

Spark

Airflow

Databricks

Snowflake

Informatica

Job description

AbbVie is seeking a Principal Data Engineer to design and operate production-grade data pipelines and data products powering AI/ML across the CMC and manufacturing ecosystem. You will harmonize data from MES, LIMS, QMS, ERP, and instrument platforms into governed, semantically rich assets for data scientists and AI systems.

You will collaborate with process scientists, engineers, and leadership to ensure scalable data infrastructure, strong data quality, and reliable data availability for