At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

The data science team at MCG is looking for a Data Engineer to assist with our work creating state of the art machine learning solutions that improve clinical accuracy and efficiency. Our team works closely with expert clinicians to create the labeled data and knowledgebases on which our models rely. As a Data Engineer, you will be responsible for the day-to-day operations that support labeling and knowledge engineering, including sourcing data to label, administering labeling tools, communicating tasks, and tracking progress. 

You will: 

Work to make clinical data sets robust and consumable by building data pipelines on various clinical datasets.  Keep data labeling and model training humming by administering internal and external tools using SQL and Python.  Implement data quality checks  Support ad-hoc analysis across data sources  Identify and communicate possible improvements to data sourcing, labeling, and training workflows 

What We’re Looking For: 

The candidate should be able to dive deep into any problems with lots of data ambiguity, ask questions and come up with possible solutions  Moderate SQL skills  Experience with Python  Experience with data modeling, warehousing and building ETL pipelines  1+ years of data engineering experience  BONUS: Experience with healthcare and clinical data, experience with data pipeline orchestration tools (Airflow/Dagster/Flyte), experience with Spark and Databricks 

 

Pay Range: $108,000-151,000 

Other compensation: Bonus Eligible 

Perks & Benefits: