Senior Platform Engineer, Data

🕒 October 26

🇺🇸 United States – Remote

💵 $101.6k - $152.4k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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Ensemble Health Partners

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2022-03

Consulting • Insurance • Logistics

Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.

📋 Description

• Design, build, test, deploy, monitor, and continuously improve scalable data pipelines using Azure Data Factory, Databricks, Apache Spark, and Python • Implement Delta Lake patterns on Azure Data Lake Storage, including table design, schema evolution, Z-ordering, VACUUM, and partition strategies • Build and maintain event-driven integrations using Azure Service Bus, Event Hub, and Azure Functions • Implement data quality monitoring frameworks for row counts, schema validation, null checks, and freshness SLAs • Develop reusable pipeline templates and platform abstractions • Provision and manage Azure infrastructure using Terraform, Bicep, or ARM templates • Design and operate Azure-native services including ADF, Azure Databricks, ADLS Gen2, Microsoft Fabric or Synapse, Key Vault, and Azure Monitor • Manage identity and access controls using Azure AD, Managed Identities, RBAC, and Unity Catalog • Implement observability through pipeline SLAs, performance dashboards, alerting, and cost tracking • Monitor compute costs, right-size clusters, configure auto-termination, and flag cost anomalies • Support containerized workloads on Azure Kubernetes Service • Design and implement secure Azure networking architectures with VNets, subnets, NSGs, Private Endpoints, Private DNS Zones, and service endpoints • Configure and troubleshoot Private Link connectivity, DNS resolution, and routing across Azure PaaS services • Apply encryption, TLS, key rotation, and secret-management standards; participate in security reviews and threat modeling • Build and maintain Azure DevOps CI/CD pipelines for testing, validation, and deployment • Write unit, integration, and data quality tests • Write maintainable Python and SQL code and participate in architecture, code, and design reviews • Identify and address technical debt • Partner with data engineering, analytics, data science, and cloud/infrastructure teams • Mentor junior and mid-level engineers through code reviews, pair programming, and technical guidance • Communicate platform capabilities, limitations, and trade-offs to product and business stakeholders • Apply generative AI tools in daily engineering work

🎯 Requirements

• 6+ years of hands-on engineering experience across data engineering and cloud platform or infrastructure domains • 3+ years working with Microsoft Azure services in production, including ADF, ADLS Gen2, Databricks, Azure Functions, Service Bus, Event Hub, and Azure Monitor • 2+ years of hands-on Azure networking experience with VNets, NSGs, Private Endpoints, Private DNS, service endpoints, and firewall configurations • 2+ years developing with Apache Spark and Databricks, including Delta Lake table design, schema evolution, and performance optimization • 4+ years of production SQL development, including complex transformations, query tuning, indexing, and enterprise-scale data modeling • Strong Python development skills applied to data engineering, pipeline orchestration, or platform tooling • Demonstrated experience with infrastructure as code; Terraform preferred, Bicep or ARM acceptable • Hands-on experience building and maintaining CI/CD pipelines in Azure DevOps • Familiarity with trunk-based development and pull request workflows • Experience with event-driven architectures using Azure Service Bus, Event Hub, or equivalent messaging platforms • Working knowledge of Azure AD, Managed Identities, RBAC, and Key Vault • Strong understanding of automated testing, code reviews, telemetry, iterative delivery, and DevOps • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience • Must reside in and be authorized to work within the United States • Must be inquisitive and open to innovation, including AI

🏖️ Benefits

• Comprehensive benefits package including healthcare, time off, retirement, and well-being programs • Professional development investment • Professional certification relevant to the associate’s field • Tuition reimbursement • Quarterly and annual incentive programs • Remote-friendly work arrangement • Periodic travel for team meetings, onsite collaboration, or client engagements

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