Senior Data Engineer — Real-Time Pipelines & Optimization

The Aspen Group; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Benefits package: PTO, health, dental,

vision, and 401(k)

Job summary

The Aspen Group is seeking a Senior Data Engineer in Chicago to architect and build the data backbone powering scheduling and demand forecasting platforms. You will design intelligence pipelines that ingest real-time data, enable optimization, and deliver actionable insights into clinical workflows.

Join a high-impact team focused on reducing patient wait times, optimizing provider utilization, and ensuring resources are available when needed.

Qualifications

• 5+ years of Data Engineering experience with Python and SQL.
• Deep experience with AWS, Azure, or GCP data services.
• Proficiency with Airflow, Prefect, or Dagster for workflow orchestration.
• Experience designing dimensional models (Star Schema) for analytics.
• Forecasting knowledge and time-series data familiarity.

Responsibilities

• Design and maintain real-time and batch data pipelines.
• Build feature stores for training and inference.
• Collaborate with data scientists to deploy forecasting models.
• Mentor junior engineers and document systems.

Skills

Python

SQL

AWS

Azure

GCP

Airflow

Dagster

Prefect

Dimensional modeling

Star Schema

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Tools

AWS

Azure

GCP

Job description

The Aspen Group is seeking a Senior Data Engineer in Chicago to architect and build the data backbone powering scheduling and demand forecasting platforms. You will design intelligence pipelines that ingest real-time data, enable optimization, and deliver actionable insights into clinical workflows.

Join a high-impact team focused on reducing patient wait times, optimizing provider utilization, and ensuring resources are available when needed.