Analytics Software Engineer IV

Availity is a leading healthcare engagement platform focused on delivering revenue cycle and related business solutions for healthcare professionals. The Analytics Software Engineer IV will design and implement cloud-based data pipelines and analytics solutions, ensuring high-quality analytic outcomes while mentoring team members and promoting software development best practices.

Responsibilities:

• Design and implement scalable and resilient end-to-end data analytic pipelines
• Translate complex analytical concepts into modularized software components to surface specific and actionable insights
• Mentor data analysts and data engineers to mature proof-of-concepts and harden them into data analytic solutions
• Automate manual reporting and analytic processes to improve efficiency and improve user experience using cloud-native technologies
• Investigate healthcare data, including medical procedures, health conditions, and provider practices
• Apply business acumen to enhance data quality and curation methodologies to ensure accurate and reliable inputs to analysis and predictive modeling
• Identify data abnormalities and their root causes and suggest possible steps for mitigation
• Write and maintain unit and integrations testing suites, QA, and UAT scenarios
• Contribute to software maintenance and deployment practices, including production code repo. and CI/CD pipeline processes such as git actions and hooks, package and environment creation and maintenance, and updating or implementing infrastructure as code
• Coach, mentor, and knowledge share for growth of the team and quality improvement. Work with data analysts and data scientists to apply industry standards and optimize analytic jobs

Requirements:

• Bachelor's degree (preferably Computer Science, Engineering, or other quantitative fields)
• 7+ years of related experience in designing and implementing production-grade data analytic solutions in Scala, Python, and PySpark
• 5+ years developing performant data solutions at scale — tuning Spark jobs
• 3+ years of hands-on experience with data analytic cloud services, such as AWS EMR, Airflow, and RedShift
• 3+ years of leveraging statistical techniques to cross-examine multiple data sources to surface patterns and data abnormalities
• 3+ years of experience with infrastructure as code (Terraform)
• Demonstrated knowledge in software development best practices: Git, linting
• Experience mentoring data analysts and data engineers in applying software
• Able to plan work, set clear direction, and coordinate tasks across a multi-disciplinary team in a fast-paced environment
• Collaborative attitude; this role is part of a larger, more dynamic team that nurtures collaboration
• Excellent communication skills including discussions of technical concepts, conducting peer-programming sessions, and explaining development concepts
• Flexible and able to embrace change
• 3+ years of experience working within Business Intelligence tools such as AWS Quicksight, Tableau, Cognos, Qlik, Pyramid
• Experience in healthcare industry data such as X12, CPT/HCPCS, ICD-10
• Experience in data architecture and cloud engineering
• Experience working in an “Agile” and/or “Scrum” development environment using tools such as JIRA
• Experience with operationalization and observability in a production environment