Analytics Software Engineer IV

🕒 il y a 4 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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Availity

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2000

⚕️ Assurance santé

☁️ SaaS

🔌 API

💰 Secondary Market en 2021-07

Healthcare Insurance • SaaS • API

Availity est un réseau d'information de santé de premier plan qui connecte les assureurs, les prestataires et les partenaires technologiques dans le secteur de la santé. En facilitant plus de 13 milliards de transactions cliniques, administratives et financières chaque année, Availity optimise la collaboration entre assureurs et prestataires et améliore les soins aux patients grâce à une plateforme intégrée d'engagement des prestataires. Les solutions de l'entreprise exploitent l'intelligence artificielle et l'interopérabilité pour automatiser des processus tels que les autorisations préalables, la gestion du cycle des revenus et la précision des paiements, réduisant ainsi les coûts et améliorant l'efficacité dans l'ensemble de l'écosystème de la santé.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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