Engineering Manager for Data Engineering (Healthcare)

Location: Remote within the United States. Corporate roles are not hired in Alaska, Delaware, Hawaii, Maine, Mississippi, Oklahoma, South Dakota, or Vermont. Virta is remote-first, with office hubs in Denver and San Francisco.

Salary: $175,000–$228,000 annually; location-based compensation.

Company

hirify.global develops technology, personalized nutrition, and virtual care to help reverse metabolic disease, working with health plans, employers, and government organizations.

What you will do

• Lead and grow Data Engineering and Analytics Engineering teams, including coaching, performance management, career development, and planned hiring.
• Complete the BigQuery medallion architecture and Looker Core migration, including validation, stakeholder onboarding, operational continuity, and retirement of legacy paths.
• Build stakeholder relationships across Engineering, Analytics, Finance, Commercial, and Clinical functions; translate needs into roadmaps and resolve competing priorities.
• Expand self-service through reusable ingestion and transformation patterns, tooling, documentation, and engineering standards.
• Guide reusable dbt models, shared semantic definitions, LookML, governed datasets, data agents, and data interfaces for Applied AI and MLOps workflows.
• Improve reliability and governance through ownership, testing, freshness expectations, alerting, incident practices, access controls, PHI/PII protection, lineage, and cost management.

Requirements

• 3+ years of engineering management experience, including direct leadership of both data engineering and analytics engineering work. Deep expertise in one discipline is sufficient with successful leadership and development of engineers in the other.
• Strong technical judgment across data pipelines, cloud warehouses, SQL, data modeling, transformation frameworks, orchestration, and BI or semantic layers; ability to review designs and code, investigate difficult problems, and make tradeoffs with experienced engineers.
• Experience leading a significant data platform or analytics migration, including data validation, stakeholder adoption, and operational continuity.
• Experience owning stakeholder discovery and roadmap prioritization without a dedicated product manager, including translating business problems and competing requests into an achievable plan.
• Track record of building reusable capabilities and helping other teams adopt them while balancing shared standards with domain-specific needs.
• Experience hiring, coaching, and managing performance across different engineering skill sets and building collaborative teams in a remote or asynchronous environment.
• Clear communication with technical and business audiences, connecting team priorities to company outcomes and using evidence to guide decisions.

Nice to have

• Experience with BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go, or infrastructure as code.
• Experience building data agents, governed natural-language analytics, semantic layers for AI, or data capabilities supporting production ML systems.
• Experience introducing AI-assisted development workflows with effective testing and review practices.
• Experience in healthcare or another regulated industry, including sensitive-data governance and access controls.

Culture & Benefits

• People-first culture focused on patients, colleagues, and personal well-being.
• Ownership, initiative, empowerment, transparency, and open access to information are valued.
• Decisions prioritize positive impact, evidence, data, and science over busy work, seniority, or dogma.
• Remote-first work environment with office hubs in Denver and San Francisco.
• Work may involve sensitive patient information governed by HIPAA; security and privacy training is provided and confidentiality procedures are required.

Hiring process

• The first 90 days include stakeholder and team relationship building, workload and capability assessment, migration planning, prioritized delivery, success measurement, and roadmap alignment.
• Virta uses AI-powered tools in parts of application review, screening, and interview note-taking; final hiring decisions are made by hirify.global personnel.