Analytics Software Engineer IV

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Availity

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2000

⚕️ Seguro de Saúde

☁️ SaaS

🔌 API

💰 Secondary Market em 2021-07

Healthcare Insurance • SaaS • API

A Availity é uma rede líder de informações de saúde que conecta pagadores, provedores e parceiros tecnológicos na indústria de saúde. Ao facilitar mais de 13 bilhões de transações clínicas, administrativas e financeiras anualmente, a Availity simplifica a colaboração entre pagadores e provedores e aprimora o cuidado ao paciente por meio de uma plataforma integrada de engajamento de provedores. As soluções da empresa utilizam inteligência artificial e interoperabilidade para automatizar processos como autorizações prévias, gerenciamento do ciclo de receita e precisão de pagamentos, reduzindo custos e melhorando a eficiência em todo o ecossistema de saúde.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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