Senior Software Engineer for Data Platform (Healthcare RCM)
Harvey Nash · New York, New York, United States
FULL TIMEpermanent
Job Description
Job Title: Senior Software Engineer for Data Platform (Healthcare RCM)Location: New York, NYDuration: Full-time
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
Job Description:OverviewWe are seeking a Senior Data Platform Engineer with experience in Healthcare Technology and Revenue Cycle Management (RCM) environments. This individual will own critical data platform initiatives end-to-end, designing, building, and operating scalable data pipelines and warehouse infrastructure that power business-critical healthcare applications.This is a hands-on senior individual contributor role requiring strong technical ownership, architectural decision-making, and production support experience.Technology StackSnowflakeSQLMesh / dbtPythonAWSTemporal / Airflow / PrefectFivetranDatadogSQLMedallion Architecture
Key ResponsibilitiesData Platform OwnershipLead major data platform initiatives from requirements gathering through architecture, delivery, and production support.Design and implement scalable, production-grade data pipelines.Ensure reliability through robust handling of:IdempotencyLate-arriving dataFailure recoveryBackfillsData quality controlsHealthcare Data EngineeringBuild and support healthcare data ingestion frameworks from:Epic ClarityathenahealthODBC-based systemsOther EHR and clinical systemsAddress challenges related to healthcare data quality, interoperability, and variability.Transform raw operational data into trusted, curated business models.Data Modeling & ArchitectureDesign scalable data warehouse solutions using Snowflake.Develop reusable data models supporting analytics, reporting, and product applications.Drive architectural decisions around performance, scalability, governance, and reliability.Platform OperationsOwn production monitoring and observability.Manage warehouse performance optimization and cost governance.Improve:Query performanceData access controlsSnowflake credit consumptionClustering and storage strategiesParticipate in on-call support and production incident response.Leadership & CollaborationMentor engineers and contribute to architectural reviews.Partner with Product, Engineering, Customer Success, and Implementation teams.Translate technical challenges into business impact and proactively communicate tradeoffs.Promote engineering best practices and operational excellence across the organization.AI-Enabled DevelopmentLeverage modern AI-assisted development tools to improve engineering productivity, code quality, and design workflows.
Required Qualifications5+ years of experience building and supporting production data platforms.Strong experience with Python and advanced SQL.Hands-on expertise with Snowflake or a comparable cloud data warehouse.Experience with orchestration frameworks such as:TemporalAirflowPrefectSimilar workflow orchestration toolsExperience with SQLMesh, dbt, or equivalent data transformation frameworks.Proven experience owning data pipelines and platform components from design through production support.Strong understanding of:Data warehousingPerformance optimizationData governancePlatform reliabilityAbility to operate independently and manage ambiguity in fast-paced environments.Experience designing solutions based on data volume, latency requirements, and SLAs.
Preferred QualificationsHealthcare Technology, RCM, or Health Data Platform experience.Experience working with:EHR integrationsHL7FHIRClaims data (837/835)Eligibility and payer dataUnderstanding of HIPAA, PHI handling, and healthcare compliance requirements.Experience building foundational infrastructure within startup or high-growth environments. xzbcwsv Strong AWS experience, including:IAMS3ECS/FargateExperience with observability and monitoring platforms such as Datadog.
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
Job Description:OverviewWe are seeking a Senior Data Platform Engineer with experience in Healthcare Technology and Revenue Cycle Management (RCM) environments. This individual will own critical data platform initiatives end-to-end, designing, building, and operating scalable data pipelines and warehouse infrastructure that power business-critical healthcare applications.This is a hands-on senior individual contributor role requiring strong technical ownership, architectural decision-making, and production support experience.Technology StackSnowflakeSQLMesh / dbtPythonAWSTemporal / Airflow / PrefectFivetranDatadogSQLMedallion Architecture
Key ResponsibilitiesData Platform OwnershipLead major data platform initiatives from requirements gathering through architecture, delivery, and production support.Design and implement scalable, production-grade data pipelines.Ensure reliability through robust handling of:IdempotencyLate-arriving dataFailure recoveryBackfillsData quality controlsHealthcare Data EngineeringBuild and support healthcare data ingestion frameworks from:Epic ClarityathenahealthODBC-based systemsOther EHR and clinical systemsAddress challenges related to healthcare data quality, interoperability, and variability.Transform raw operational data into trusted, curated business models.Data Modeling & ArchitectureDesign scalable data warehouse solutions using Snowflake.Develop reusable data models supporting analytics, reporting, and product applications.Drive architectural decisions around performance, scalability, governance, and reliability.Platform OperationsOwn production monitoring and observability.Manage warehouse performance optimization and cost governance.Improve:Query performanceData access controlsSnowflake credit consumptionClustering and storage strategiesParticipate in on-call support and production incident response.Leadership & CollaborationMentor engineers and contribute to architectural reviews.Partner with Product, Engineering, Customer Success, and Implementation teams.Translate technical challenges into business impact and proactively communicate tradeoffs.Promote engineering best practices and operational excellence across the organization.AI-Enabled DevelopmentLeverage modern AI-assisted development tools to improve engineering productivity, code quality, and design workflows.
Required Qualifications5+ years of experience building and supporting production data platforms.Strong experience with Python and advanced SQL.Hands-on expertise with Snowflake or a comparable cloud data warehouse.Experience with orchestration frameworks such as:TemporalAirflowPrefectSimilar workflow orchestration toolsExperience with SQLMesh, dbt, or equivalent data transformation frameworks.Proven experience owning data pipelines and platform components from design through production support.Strong understanding of:Data warehousingPerformance optimizationData governancePlatform reliabilityAbility to operate independently and manage ambiguity in fast-paced environments.Experience designing solutions based on data volume, latency requirements, and SLAs.
Preferred QualificationsHealthcare Technology, RCM, or Health Data Platform experience.Experience working with:EHR integrationsHL7FHIRClaims data (837/835)Eligibility and payer dataUnderstanding of HIPAA, PHI handling, and healthcare compliance requirements.Experience building foundational infrastructure within startup or high-growth environments. xzbcwsv Strong AWS experience, including:IAMS3ECS/FargateExperience with observability and monitoring platforms such as Datadog.
Details
| Company | Harvey Nash |
| Location | New York, New York, United States |
| Type | FULL TIME |
| Niche | hr |
| Experience | permanent |

