Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.
The Analytics Software Engineer IV is a senior technical role in our Payment Accuracy Analytics Team, focused on developing solutions to leverage big data to derive business-ready insights. The Analytics Software Engineer’s primary role is to design and implement cloud-based data pipelines and analytics solutions for reporting and dashboards. The individual will establish technology standards and promote software development best practices in the areas of data curation, analysis, and to enable visualization. The individual will also liaise with business and technical leaders to deliver scalable, fault-tolerant, effective, and high-quality analytic solutions.
Sponsorship, in any form, is not available for this position.
Location: Remote, US
Role qualifications:
- 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, optimizing query plans, and designing partition strategies for datasets with hundreds of millions of rows.
- 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, unit/integration testing, CI/CD (GitLab CI or equivalent)
- Experience mentoring data analysts and data engineers in applying software engineering rigor to analytic work — modularized pipeline design, test-driven development, code review
- 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
To differentiate yourself, you:
- 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.