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Data Engineer

Remote

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:  

💻 Hybrid work  

🩺 Medical, dental, vision, life, and disability insurance 

📈 401K retirement plan; flexible spending and health savings account 

🏝️ 15 days of paid time off + additional front-loaded personal days 

🏖️ 14 company-recognized holidays + paid volunteer days  

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave  

🌈 LGBTQ+ Health Services 

🐶 Pet insurance  

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/  

 

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it. 

This position can be done from a remote location and will require in-person support as needed. 

All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. 

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

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