Senior Data Engineer, Onboarding

Vaga não está no LinkedIn

🕒 Outubro 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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MDaudit

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1993

🏥 Saúde

⚕️ Seguro de Saúde

📋 Conformidade

Healthcare • Healthcare Insurance • Compliance

MDaudit é uma plataforma de software de conformidade em saúde que unifica conformidade de faturamento, codificação e integridade de receita em uma única solução. Ajuda organizações de saúde a minimizar riscos de conformidade, melhorar a otimização de receitas e aumentar a eficiência operacional por meio de estratégias baseadas em dados e automação de fluxos de trabalho. A plataforma da MDaudit é projetada para vários tipos de auditoria, incluindo auditorias programadas, avaliações baseadas em risco e revisões de qualidade de codificação, permitindo que os provedores de saúde tratem efetivamente as complexidades da conformidade de faturamento.

Descrição

• Design, develop, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and Python following a Bronze/Silver/Gold lakehouse pattern • Ingest, parse, transform, and map 837I/P/D claims, 835 remittance advice, and EMR data to the MDaudit data model • Build and optimize Snowflake data models, SQL transformations, and warehousing processes • Convert and migrate data from legacy systems and databases such as Microsoft SQL Server • Develop reusable Python, PySpark, and SQL frameworks, tools, and automation • Implement automated data validation, quality checks, and reconciliation; resolve discrepancies • Monitor, maintain, and troubleshoot customer data feeds and file processing • Integrate and validate EMR data, including Epic, Cerner, Meditech, and Athenahealth, with claims data • Collaborate with Implementation, Product, Support, and IT teams on requirements, data mapping, and priorities • Resolve onboarding escalations through root-cause analysis and permanent fixes • Track onboarding work items, raise risks, and provide status updates to internal stakeholders • Document pipelines, data flows, and runbooks and transition completed work to Support • Mentor junior engineers, conduct code reviews, and share technical knowledge • Support HIPAA compliance, regulatory requirements, data integrity, and security

🎯 Requisitos

• Bachelor’s degree in computer science, Data Science, Health Informatics, Information Systems, or a related field, or equivalent experience • 8+ years of experience in data engineering, ETL/ELT, and data warehousing • 3+ years of programming experience with Python and advanced SQL • 2+ years of hands-on experience with Databricks, including Delta Lake, notebooks, and jobs/workflows, and PySpark • Working experience with Snowflake, including data modeling and SQL transformations • 2+ years of healthcare industry experience, preferably in revenue cycle management (RCM) • Solid understanding of healthcare billing processes, claims lifecycle, and reimbursement models • Working knowledge of healthcare EDI (X12) transaction data and claims/remittance processing • Experience with cloud platforms such as AWS or Microsoft Azure • Strong understanding of healthcare revenue cycle processes and experience with SaaS applications • Strong analytical and problem-solving skills with attention to detail • Strong written and verbal communication with technical and non-technical colleagues • Collaborative, team-oriented working style • Comfort working in a fast-paced environment • Ability to adhere to HIPAA and other regulatory requirements and maintain data integrity and security

🏖️ Benefícios

• On-demand learning program • Remote Cooking Classes, Yoga Sessions & Mixology Classes • Medical, Dental & Vision Coverage • 401K with company match • Unlimited vacation policy • Peer Nominated Awards & Recognition • Career growth and advancement opportunities • Remote work arrangement

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