Knowtion Health is building the next generation of AI-enabled solutions for healthcare revenue cycle management (RCM). If you're interested in machine learning, generative AI, Azure-native development, and big data analytics, then keep reading!

The Senior Data Engineer creates and maintains data architectures, pipelines and solutions for business intelligence workloads. The ideal candidate has a blend of experience with big data engineering, relational database development, machine learning and analytics.

What’s Attractive to the Right Candidate?

• Knowtion Health is a growing firm in a growing industry. Our status as a leader in this industry means that we have the resources to invest in the business and to innovate.
• Our business is intensely competitive and is constantly evolving. We quickly identify new challenges and develop solutions, so you won’t simply be doing what was done last year. Our new employees are frequently pleased and surprised by how quickly we make decisions and adapt to market conditions.
• Knowtion Health culture is inviting and competitive, embracing challenge and celebrating accomplishment; dedicated colleagues striving to provide quality results that have lasting impact.

The Opportunity:

• Design, build and maintain data infrastructure, including databases, lakehouses and data warehouses.
• Work with product teams, business stakeholders, data scientists and application developers to operationalize the data analytics and AI strategies using a variety of cloud-based relational and big data tools.
• Develop and maintain data integration and ETL pipelines from various sources into data storage systems
• Develop dashboards and analytics for Knowtion’s ClaimBRAIN AI-Enabled Platform
• Collaborate with machine learning engineers to develop and optimize data pipelines for training and deploying AI/ML models at scale.
• Ensure data pipelines are designed to support machine learning use cases, from data ingestion to feature engineering and model serving in a cloud-based environment.
• Work closely with ML engineers to integrate data architectures into MLOps workflows, ensuring smooth data flows for both batch and real-time predictions.

What you bring:

• B.S. in Computer Science or related discipline
• 5+ years of relevant experience as a Data Engineer
• 3+ years of hands-on experience working with industry leading big data technologies or data warehouses
• 5+ years of experience with relational databases like SQL Server and Oracle, including experience with Azure SQL
• Experience in writing complex SQL queries and creating data models.
• Experience with Databricks or Azure Databricks
• Experience with ETL technologies such as Azure Data Factory
• Experience with discovering and analyzing patterns in data
• Ability to create dashboards using Tableau, Power BI or other tools
• Experience with Python and other data engineering languages like PySpark
• Familiarity with data science tools like Jupyter notebook or Databricks notebook

The above statements are intended to provide the general nature and level of work being performed by most people assigned to the position. They are not intended to be an exhaustive list of all responsibilities, duties and requirements.

This position is remote and requires a dedicated, distraction-free work space at home. We offer a competitive benefits package including medical, dental, vision, life insurance, short term disability, long term disability, paid holidays, 401k, and a generous PTO policy.

Knowtion Health gives priority to applicants located in the following states: AR, AL, AZ, FL, GA, IL, KS, KY, MD, MA, MN, NC, OH, OK, PA, SC, TN, TX, WV, VA