Analytics Software Engineer IV

🕒 vor 6 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Availity

Availity

1001 - 5000 Mitarbeiter

Gegründet 2000

⚕️ Krankenversicherung

☁️ SaaS

🔌 API

💰 Secondary Market im 2021-07

Healthcare Insurance • SaaS • API

Availity ist ein führendes Gesundheitsinformationsnetzwerk, das Kostenträger, Anbieter und Technologiepartner im Gesundheitswesen verbindet. Mit der Abwicklung von über 13 Milliarden klinischen, administrativen und finanziellen Transaktionen jährlich optimiert Availity die Zusammenarbeit zwischen Kostenträgern und Anbietern und verbessert die Patientenversorgung durch eine integrierte Plattform für die Anbieterbindung. Die Lösungen des Unternehmens nutzen künstliche Intelligenz und Interoperabilität, um Prozesse wie Vorabgenehmigungen, Revenue Cycle Management und Zahlungsgenauigkeit zu automatisieren, was letztendlich die Kosten senkt und die Effizienz im gesamten Gesundheitsökosystem verbessert.

Beschreibung

• 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

🎯 Anforderungen

• 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 • Excellent communication skills including discussions of technical concepts, conducting peer-programming sessions, and explaining development concepts • Collaborative attitude and ability to plan work, set clear direction, and coordinate tasks across a multi-disciplinary team in a fast-paced environment

🏖️ Vorteile

• 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 for gym memberships and wellness programs • Education reimbursement • Paid Parental Leave for birth and adoptive parents • Opportunities for community engagement and volunteering

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