AI-Ready Data Engineer for R&D & Knowledge Graphs

ABBVIE; North Chicago (IL); On-site; USD 85,000 - 162,000; Full time

Job summary

AbbVie’s BTS Information Research organization seeks a Data Engineer, AI Enablement to craft AI-ready data products for ARCH, AbbVie’s R&D data hub. You will design scalable data pipelines, curate data assets, and ensure governed, accessible data for researchers and data scientists.

Collaborating with scientists, ML engineers, and platform teams, you will guide contracted engineers, enforce quality standards, and advance data foundations that support analytics, ML, and AI use cases across R&D.

Qualifications

• Bachelor’s Degree with 5 years of experience; OR Master’s Degree with 4 years in information technology, data engineering, data management, analytics, life sciences, or related field.
• Hands-on experience designing, developing, and operating production data pipelines and curated data products using SQL, Python, ETL/ELT patterns, and workflow orchestration tools such as Airflow.
• Working knowledge of modern data platforms, data integration, data warehousing or lakehouse patterns, distributed SQL or big data environments, cloud infrastructure, and analytics enablement.
• Experience preparing data for downstream analytics, ML, knowledge graph, or retrieval use cases, including cleaning, standardization, enrichment, structuring, metadata organization, and support for embedding or vector-search workflows.
• Experience applying data quality, metadata management, governance, lineage, documentation, and data modeling practices to support trusted, reusable data products.
• Experience collaborating with cross-functional teams to translate requirements and deliver fit-for-purpose data assets.

Responsibilities

• AI-Ready Data Product Engineering: Design, build, and operate curated, reusable data products that make high-value R&D data easier to find, connect, understand, and use.
• Trusted Data Foundation Enablement: Establish reliable, scalable data foundations that support analytics, reporting, knowledge graph capabilities, ML, and AI-enabled use cases.
• AI, RAG & Knowledge Graph Readiness: Prepare data and documents for AI use cases by cleaning, standardizing, enriching, labeling, organizing metadata, and embedding workflows.

Skills

SQL

Python

ETL/ELT

Airflow

Data pipelines

Education

Bachelor's degree in IT/CS or life sciences

Tools

Databricks

Spark

Snowflake

Neo4j

Job description

AbbVie’s BTS Information Research organization seeks a Data Engineer, AI Enablement to craft AI-ready data products for ARCH, AbbVie’s R&D data hub. You will design scalable data pipelines, curate data assets, and ensure governed, accessible data for researchers and data scientists.

Collaborating with scientists, ML engineers, and platform teams, you will guide contracted engineers, enforce quality standards, and advance data foundations that support analytics, ML, and AI use cases across R&D.