Analytics Software Engineer IV

## Analytics Software Engineer IVApplylocations:
Remote - United Statestime type:
Full time posted on:
Posted Yesterday job requisition :
R0008249

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.

At Availity, we're not just another Healthcare Technology company; we're pioneers reshaping the future of healthcare! With our headquarters in vibrant Jacksonville, FL, and an exciting office in Bangalore, India, along with an exceptional remote workforce across the United States, we're a global team united by a powerful mission.
We're on a mission to bring the focus back to what truly matters – patient care. As the leading healthcare engagement platform, we're the heartbeat of an industry that impacts millions. With over 2 million providers connected to health plans, and processing over 13 billion transactions annually, our influence is continually expanding.
Join our energetic, dynamic, and forward-thinking team where your ideas are celebrated, innovation is encouraged, and every contribution counts. We're transforming the healthcare landscape, solving communication challenges, and creating connections that empower the nation's premier healthcare ecosystem.

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 Red Shift.
* 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 (Git Lab 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.
* Experience working in an “Agile” and/or “Scrum” development environment using tools such as JIRA.
* Experience with operationalization and observability in a production environment.
** What you will be…