Senior Data Engineer: AI‑Ready Pipelines & Analytics

Quantori

Madison (WI)

On-site

USD 130,000 - 180,000

Full time

7 days ago
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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.

Skills

Python
R
SQL
AWS
Snowflake
Databricks
Redshift
Spark
dbt
Tableau
NoSQL
Graph DBs
English B2+

Education

Bachelor's degree in Engineering / Data Science / Life Sciences / CS

Tools

Databricks
Snowflake
Redshift
dbt
Tableau
AWS

Job description

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.

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