Analytics Software Engineer IV

Availity

1d • Remote

About The Position

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.

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, 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

Nice To Haves

• 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.

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.

Benefits

• competitive salary
• bonus structure
• generous HSA company contribution
• healthcare
• vision
• dental benefits
• 401k match program
• unlimited PTO for salaried associates
• 9 paid holidays
• 19 days of PTO for hourly associates
• reimbursement up to $250/year for gym memberships, participation in racing events, weight management programs, etc.
• education reimbursement
• Paid Parental Leave for both moms and dads, both birth parents and adoptive parents.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior