Remote Data Engineer for AI Biomedical Platform

Wustl; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

Washington University in St. Louis (WUSTL) seeks a C-BRAIN Data Engineer to design, build, and maintain the data infrastructure powering our AI biomedical tools.

You will own data ingestion, pipeline development, harmonization, and cloud operations to deliver analysis-ready data for research teams and AI experiments. You will work closely with the CTO, product managers, and data scientists to translate requirements into scalable pipelines using Spark, dbt, Airflow, and cloud services, while

Qualifications

• Experience designing scalable data ingestion pipelines for diverse data sources.
• Proficiency with ETL/ELT workflows using Spark, dbt, Airflow or equivalent.
• Knowledge of data governance, access controls, and de-identification practices.
• Familiarity with biomedical or neurodegeneration data is a plus.

Responsibilities

• Designs, builds, tests, and maintains scalable data ingestion pipelines.
• Develops and maintains ETL/ELT workflows with Spark, dbt, Airflow.
• Implements monitoring, alerting, and error resolution for pipelines.
• Collaborates with CTO and data scientists to translate requirements into pipelines.
• Maintains version control and documentation for pipelines and infra.

Skills

ETL pipelines

Cloud platforms

Data pipeline development

Data governance

Version control

Tools

Apache Spark

dbt

Airflow

Job description

Washington University in St. Louis (WUSTL) seeks a C-BRAIN Data Engineer to design, build, and maintain the data infrastructure powering our AI biomedical tools.

You will own data ingestion, pipeline development, harmonization, and cloud operations to deliver analysis-ready data for research teams and AI experiments. You will work closely with the CTO, product managers, and data scientists to translate requirements into scalable pipelines using Spark, dbt, Airflow, and cloud services, while