Senior Data Engineer — Build Patient-Centric Pipelines

Abbott; Madison (WI); On-site; USD 78,000 - 156,000; Full time

Benefits offered by this job

HIP medical coverage

Excellent retirement plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott's Madison, WI area is hiring a Sr. Data Engineer to design, build, and optimize data pipelines and models for the Enterprise Data Customer Experience.

You will work on the CDP powering personalized communications and patient/provider experiences within the Cancer Diagnostics portfolio. You will lead technical decisions, collaborate with CX product managers, and mentor junior engineers while ensuring data quality, security, and scalable architectures.

Qualifications

• Bachelor’s degree or 4+ years experience in lieu required.
• Experience with Spark on Databricks or Snowflake, Python and SQL.
• Ability to design and optimize ETL data pipelines and data models.

Responsibilities

• Design, develop, and test scalable ETL data pipelines and data models.
• Lead design reviews and key technical decisions shaping data architecture.
• Troubleshoot data issues and ensure quality, performance, and security.
• Partner with product managers and engineers to translate requirements into data solutions.
• Mentor junior engineers and promote Agile practices in Jira/Confluence.

Skills

Spark on Databricks

Python

SQL

ETL pipelines

Data modeling

Education

Bachelor’s Degree in Data Science/CS/IS/Math/Engineering

High School Diploma + 4 years relevant experience

Tools

Databricks

Snowflake

AWS (S3, SQS)

Tableau

Jira/Confluence

GitLab

REST API development

Job description

Abbott's Madison, WI area is hiring a Sr. Data Engineer to design, build, and optimize data pipelines and models for the Enterprise Data Customer Experience.

You will work on the CDP powering personalized communications and patient/provider experiences within the Cancer Diagnostics portfolio. You will lead technical decisions, collaborate with CX product managers, and mentor junior engineers while ensuring data quality, security, and scalable architectures.