Senior Software Engineer for Data Platform (Healthcare RCM)

Job Description

Job Title: Senior Software Engineer for Data Platform (Healthcare RCM)

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Location: New York, NY

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Duration: Full-time

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Job Description:

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Overview

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We 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.

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This is a hands-on senior individual contributor role requiring strong technical ownership, architectural decision-making, and production support experience.

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Technology Stack

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• Snowflake

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• SQLMesh / dbt

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• Python

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• AWS

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• Temporal / Airflow / Prefect

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• Fivetran

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• Datadog

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• SQL

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• Medallion Architecture

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Key Responsibilities

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Data Platform Ownership

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• Lead major data platform initiatives from requirements gathering through architecture, delivery, and production support.

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• Design and implement scalable, production-grade data pipelines.

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• Ensure reliability through robust handling of:

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• Idempotency

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• Late-arriving data

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• Failure recovery

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• Backfills

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• Data quality controls

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Healthcare Data Engineering

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• Build and support healthcare data ingestion frameworks from:

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• Epic Clarity

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• athenahealth

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• ODBC-based systems

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• Other EHR and clinical systems

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• Address challenges related to healthcare data quality, interoperability, and variability.

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• Transform raw operational data into trusted, curated business models.

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Data Modeling & Architecture

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• Design scalable data warehouse solutions using Snowflake.

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• Develop reusable data models supporting analytics, reporting, and product applications.

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• Drive architectural decisions around performance, scalability, governance, and reliability.

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Platform Operations

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• Own production monitoring and observability.

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• Manage warehouse performance optimization and cost governance.

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• Improve:

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• Query performance

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• Data access controls

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• Snowflake credit consumption

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• Clustering and storage strategies

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• Participate in on-call support and production incident response.

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Leadership & Collaboration

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• Mentor engineers and contribute to architectural reviews.

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• Partner with Product, Engineering, Customer Success, and Implementation teams.

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• Translate technical challenges into business impact and proactively communicate tradeoffs.

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• Promote engineering best practices and operational excellence across the organization.

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AI-Enabled Development

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• Leverage modern AI-assisted development tools to improve engineering productivity, code quality, and design workflows.

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Required Qualifications

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• 5+ years of experience building and supporting production data platforms.

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• Strong experience with Python and advanced SQL.

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• Hands-on expertise with Snowflake or a comparable cloud data warehouse.

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• Experience with orchestration frameworks such as:

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• Temporal

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• Airflow

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• Prefect

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• Similar workflow orchestration tools

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• Experience with SQLMesh, dbt, or equivalent data transformation frameworks.

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• Proven experience owning data pipelines and platform components from design through production support.

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• Strong understanding of:

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• Data warehousing

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• Performance optimization

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• Data governance

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• Platform reliability

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• Ability to operate independently and manage ambiguity in fast-paced environments.

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• Experience designing solutions based on data volume, latency requirements, and SLAs.

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Preferred Qualifications

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• Healthcare Technology, RCM, or Health Data Platform experience.

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• Experience working with:

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• EHR integrations

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• HL7

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• FHIR

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• Claims data (837/835)

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• Eligibility and payer data

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• Understanding of HIPAA, PHI handling, and healthcare compliance requirements.

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• Experience building foundational infrastructure within startup or high-growth environments.

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• Strong AWS experience, including:

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• IAM

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• S3

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• ECS/Fargate

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• Experience with observability and monitoring platforms such as Datadog.

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