Data Engineer

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 in Seattle, WA., and will require in-person support as needed.