Senior Data Engineer - Platform & Analytics Leadership

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

Job summary

Abbott in Madison, WI is seeking a senior Data Engineer to own design and delivery for complex data products, pipelines, and platform capabilities. You will collaborate with stakeholders, mentor engineers, and lead testing, observability, and CI/CD adoption while ensuring data quality and security.

Ideal candidates have 8+ years in data engineering, strong SQL/Python, and experience with Databricks/Spark on cloud platforms. This role offers relocation assistance for qualified candidates.

Qualifications

• Bachelor's degree in a related field (Data Science, CS, Information Systems, Mathematics, or Engineering).
• 8+ years of progressively responsible experience in data engineering or a closely related discipline.
• Demonstrated experience owning technical design and hands-on delivery for complex data products, pipelines, or platform capabilities.

Responsibilities

• Own technical design and hands-on delivery for the most complex data work across data products and pipelines.
• Produce design documentation and drive design reviews with cross-domain peers.
• Build and evolve data products that are documented, governed, observable, and reusable across analytics and ML/AI needs.
• Define data contracts including schemas, freshness, availability, and policies.
• Design data products for AI/ML with data quality controls and lineage.
• Diagnose and resolve complex production/data quality issues and drive root-cause analysis.
• Leverage AI-assisted tooling while ensuring security, privacy, and quality.
• Own cost efficiency of data products including compute, storage, and optimization.
• Evaluate tools and platform capabilities per enterprise standards.

Job description

Abbott in Madison, WI is seeking a senior Data Engineer to own design and delivery for complex data products, pipelines, and platform capabilities. You will collaborate with stakeholders, mentor engineers, and lead testing, observability, and CI/CD adoption while ensuring data quality and security.

Ideal candidates have 8+ years in data engineering, strong SQL/Python, and experience with Databricks/Spark on cloud platforms. This role offers relocation assistance for qualified candidates.