Senior Software Engineer for Data Platform (Healthcare RCM)

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

Location: New York, NY

Duration: Full-time

Job Description:

Overview

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.

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

Technology Stack

• Snowflake
• SQLMesh / dbt
• Python
• AWS
• Temporal / Airflow / Prefect
• Fivetran
• Datadog
• SQL
• Medallion Architecture

Key Responsibilities

Data Platform Ownership

• Lead 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:
• Idempotency
• Late-arriving data
• Failure recovery
• Backfills
• Data quality controls

Healthcare Data Engineering

• Build and support healthcare data ingestion frameworks from:
• Epic Clarity
• athenahealth
• ODBC-based systems
• Other EHR and clinical systems
• Address challenges related to healthcare data quality, interoperability, and variability.
• Transform raw operational data into trusted, curated business models.

Data Modeling & Architecture

• Design 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 Operations

• Own production monitoring and observability.
• Manage warehouse performance optimization and cost governance.
• Improve:
• Query performance
• Data access controls
• Snowflake credit consumption
• Clustering and storage strategies
• Participate in on-call support and production incident response.

Leadership & Collaboration

• Mentor 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 Development

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

Required Qualifications

• 5+ 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:
• Temporal
• Airflow
• Prefect
• Similar workflow orchestration tools
• Experience 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 warehousing
• Performance optimization
• Data governance
• Platform reliability
• Ability to operate independently and manage ambiguity in fast-paced environments.
• Experience designing solutions based on data volume, latency requirements, and SLAs.

Preferred Qualifications

• Healthcare Technology, RCM, or Health Data Platform experience.
• Experience working with:
• EHR integrations
• HL7
• FHIR
• Claims data (837/835)
• Eligibility and payer data
• Understanding of HIPAA, PHI handling, and healthcare compliance requirements.
• Experience building foundational infrastructure within startup or high-growth environments.
• Strong AWS experience, including:
• IAM
• S3
• ECS/Fargate
• Experience with observability and monitoring platforms such as Datadog.