Remote opportunity at
Ensemble Health PartnersSr Platform Engineer, Data
Ensemble Health Partners provides technology-driven revenue cycle management services to health systems, hospitals, and physician groups. The organization is currently hiring a Sr Platform Engineer, Data…
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About This Role
Ensemble Health Partners provides technology-driven revenue cycle management services to health systems, hospitals, and physician groups. The organization is currently hiring a Sr Platform Engineer, Data to operate at the intersection of cloud platform engineering, networking, and data engineering. This position focuses heavily on hands-on technical execution rather than people management or high-level strategy. The successful candidate will spend most of their time writing code, configuring cloud infrastructure, resolving operational…
Job Description
Ensemble Health Partners provides technology-driven revenue cycle management services to health systems, hospitals, and physician groups. The organization is currently hiring a Sr Platform Engineer, Data to operate at the intersection of cloud platform engineering, networking, and data engineering.
This position focuses heavily on hands-on technical execution rather than people management or high-level strategy. The successful candidate will spend most of their time writing code, configuring cloud infrastructure, resolving operational challenges, and reviewing pull requests. Core responsibilities involve designing and deploying Azure platform solutions, writing data pipelines, reinforcing network security, and applying software engineering best practices.
The role is well-suited for experienced cloud or platform engineers looking to specialize in data, as well as data engineers who possess strong networking and platform capabilities. Applicants should be comfortable owning both pipeline reliability and cloud networking configurations such as Private Endpoint DNS records.
Responsibilities
- Design, build, test, deploy, monitor, and improve data pipelines using Python, Apache Spark, Databricks, and Azure Data Factory.
- Implement Delta Lake patterns on Azure Data Lake Storage including table design, schema evolution, VACUUM, Z-ordering, and partitioning.
- Build event-driven integrations via Azure Functions, Event Hub, and Azure Service Bus.
- Deploy and govern Azure infrastructure utilizing infrastructure as code tools like Terraform, Bicep, or ARM templates.
- Configure secure Azure networking architectures including VNets, subnets, NSGs, Private Endpoints, and Private DNS zones.
- Establish automated CI/CD pipelines in Azure DevOps for infrastructure code, notebooks, and data pipelines.
- Utilize generative AI tools in daily tasks to accelerate engineering work, troubleshoot complex systems, and improve code quality.
Requirements
- Six or more years of hands-on engineering experience spanning cloud platforms, infrastructure, and data engineering.
- Three or more years working with Microsoft Azure production services including Databricks, Azure Data Factory, ADLS Gen2, and Azure Monitor.
- Two or more years of practical Azure networking experience covering VNets, NSGs, Private Endpoints, and Private DNS.
- Two or more years developing applications with Apache Spark and Databricks.
- Four or more years of production SQL development experience involving complex transformations, query tuning, and data modeling.
- Strong Python development skills applied to data engineering, platform tooling, or pipeline orchestration.
- Demonstrated hands-on experience with infrastructure as code tools such as Terraform, Bicep, or ARM templates.
Qualifications
- Familiarity with data platform security and governance tooling including Unity Catalog, column-level security, and audit logging.
- Background in software engineering encompassing microservices, APIs, or distributed systems.
- Exposure to healthcare datasets, HL7, or EDI standards.
- Experience supporting AI, machine learning, feature stores, or model serving infrastructure.
- Familiarity with Kubernetes, container networking, and AKS workload deployment patterns.
- Relevant Azure certifications such as AZ-305, DP-203, or AZ-700.
- Bachelor degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The posting indicates that the location for this role is remote.
What is the employment type?
The position is a full-time employment opportunity.
What salary is offered for this role?
The salary is not specified in the job posting.
What level of experience is required?
Candidates must have 6+ years of hands-on engineering experience spanning data engineering and cloud platform or infrastructure domains.
Sample Interview Questions
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