AI-Driven Data Engineer for Pharma Platforms

AbbVie; Worcester (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

AbbVie in Worcester, MA, is seeking a data engineering expert to design and operate production-grade data pipelines for AI/ML across CMC and manufacturing domains. You will harmonize data from MES, LIMS, QMS, ERP, and instrumentation, turning it into governed assets for data scientists and process engineers.

You will partner with data scientists, ML engineers, and process modelers to translate needs into scalable infrastructure, emphasizing data quality, lineage, and scalable cloud-native

Qualifications

• Design and build enterprise-grade data pipelines in multi-source environments.
• Experience with cloud data platforms and modern data stack components.
• Ability to implement data governance, lineage, and metadata management.

Responsibilities

• Architect and deliver data pipelines connecting MES, LIMS, QMS, ERP and instrument data.
• Develop governed data products and feature stores for AI/ML use.
• Ensure data quality, observability, and compliance in production.
• Collaborate with scientists, engineers, and product teams to meet model needs.

Skills

Python

SQL

Cloud platforms

ETL/ELT

DBT

Spark

Airflow

Education

Bachelor's in CS/Engineering

Master’s in CS/Engineering

Tools

Databricks

Snowflake

OSISoft PI

AWS/Azure/GCP

Informatica/Talend

Job description

AbbVie in Worcester, MA, is seeking a data engineering expert to design and operate production-grade data pipelines for AI/ML across CMC and manufacturing domains. You will harmonize data from MES, LIMS, QMS, ERP, and instrumentation, turning it into governed assets for data scientists and process engineers.

You will partner with data scientists, ML engineers, and process modelers to translate needs into scalable infrastructure, emphasizing data quality, lineage, and scalable cloud-native