Staff Data Engineer: Lead Data Platform & ML (Madison)

Abbott; Madison (WI); On-site; USD 99,000 - 199,000; Full time

Job summary

Abbott, a global healthcare leader, is hiring a Staff Data Engineer for its Madison, WI data domain. You will own the technical design and hands-on delivery for the most complex data products, pipelines, and platform capabilities.

You will drive data contracts, quality controls, and scalable data solutions for analytics, ML, and AI applications. You will collaborate with business stakeholders, mentor engineers, and lead cross-domain architecture discussions while ensuring security, privacy, and

Qualifications

• 8+ years of progressively responsible experience in data engineering.
• Advanced SQL and Python with data modeling experience.
• Experience with modern data platforms and cloud services (AWS/Azure/GCP).
• Ability to translate business needs into technical solutions and mentor engineers.

Responsibilities

• Own technical design and hands-on delivery for complex data products and pipelines.
• Define and uphold data contracts, schemas, and data quality controls.
• Design data products for AI/ML with reproducibility and lineage.
• Mentor engineers and lead design reviews.
• Drive observability, CI/CD, and production readiness across data platforms.

Skills

SQL

Python

Data modeling

Cloud platforms

Education

Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering

Tools

Databricks

Spark

Airflow

dbt

Unity Catalog

Delta Live Tables

Job description

Abbott, a global healthcare leader, is hiring a Staff Data Engineer for its Madison, WI data domain. You will own the technical design and hands-on delivery for the most complex data products, pipelines, and platform capabilities.

You will drive data contracts, quality controls, and scalable data solutions for analytics, ML, and AI applications. You will collaborate with business stakeholders, mentor engineers, and lead cross-domain architecture discussions while ensuring security, privacy, and