Senior Data Engineer: AI‑Ready Pipelines & Analytics

Quantori

Madison (WI)

On-site

USD 130,000 - 180,000

Full time

7 days ago

Be an early applicant

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Competitive compensation

Professional development

Job summary

Quantori seeks a Senior Data Engineer to design, build, and optimize data capture, processing, and storage solutions for advanced analytics. You will create robust, future-proof data systems and pipelines supporting scientific, technical, and operational decision-making.

The role focuses on scalable ETL, enterprise data models, and ensuring data readiness for AI/ML initiatives within a modern cloud ecosystem.

Qualifications

Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or related field.
6+ years of experience in data engineering, including data modeling and database design, preferably in scientific/manufacturing/healthcare contexts.
Proficiency with Python, R, SQL and cloud architectures (AWS, Snowflake, Databricks, Redshift) with Spark and dbt.
Familiarity with Databricks AI/BI or Tableau or other BI tools.
Expertise in ETL and data warehouse design.

Responsibilities

Design, build, and maintain scalable data pipelines from diverse sources (lab systems, MES, clinical supply, quality systems, partners).
Create and optimize data flows for structured/unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake and related tools.
Develop and maintain enterprise data repositories with robust data models and new models as needed.
Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with data standards.