Staff Software/Data Engineer (Snowflake/Airflow)

Location: Fully remote, based in the United States

Salary: $180,000–$190,000 base salary per year

Company

hirify.global provides an end-to-end healthcare technology ecosystem for PACE programs, supporting care coordination, risk adjustment, population health, utilization management, compliance, and financial performance.

What you will do

• Drive the multi-quarter technical direction of the ELT platform and balance strategic investments with pragmatic delivery.
• Write and establish standards for design documents, architecture decisions, and technical reviews.
• Break down ambiguous initiatives, translate business goals into platform strategy, and shepherd work through multiple engineers.
• Identify scaling constraints, systemic risks, reliability failure modes, and cross-project tradeoffs.
• Mentor engineers at all levels and provide deep feedback on pull requests and designs.
• Lead complex incident response and define follow-up work to prevent recurrence.

Requirements

• 7+ years of professional software or data engineering experience with increasing-scope technical leadership.
• Deep expertise in SQL, Python, Airflow or a comparable orchestrator, dbt or a comparable transformation framework, and a cloud data warehouse.
• Experience solving scale problems across warehouse, data, and infrastructure layers.
• Experience with technical roadmaps, architectural design documents, cross-functional collaboration, mentoring, testing, observability, security, and incident response.
• Ability to handle protected health information according to HIPAA requirements and set team-wide standards for compliant data handling.
• Must be based in the United States; visa sponsorship is not available.

Nice to have

• Experience with HL7, FHIR, EHR integrations, value-based care, PACE, or Medicare and Medicaid populations.
• Snowflake certifications such as SnowPro Core or SnowPro Architect.
• Experience with Kubernetes, production reliability standards, MongoDB, and observability tools such as Grafana, Loki, or Prometheus.
• Experience shaping hiring, leveling, organizational design, or AI and machine-learning applications in healthcare analytics.

Culture & Benefits

• Remote-first work environment with tools and rituals for distributed engineering collaboration.
• Work focused on improving outcomes for socially vulnerable and clinically complex populations.
• Values include ownership, data-informed decision-making, impact, growth, innovation, and mutual support.
• Opportunity to define team practices for AI-assisted development using Claude Code and related tooling.