
201 - 500 employees
🏥 Healthcare
⚕️ Healthcare Insurance
🧘 Wellness
Healthcare • Healthcare Insurance • Wellness
Virta Health is a healthcare company focused on reversing type 2 diabetes and promoting sustainable weight loss through a nutrition-first approach. The company offers personalized treatment plans that help individuals reduce or eliminate the need for diabetes medications. Virta collaborates with organizations and healthcare providers to deliver transformative outcomes in metabolic care. Their approach is evidence-backed, emphasizing the importance of lifestyle and dietary changes to achieve lasting health improvements and weight management.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $175k - $228k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
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201 - 500 employees
🏥 Healthcare
⚕️ Healthcare Insurance
🧘 Wellness
Healthcare • Healthcare Insurance • Wellness
Virta Health is a healthcare company focused on reversing type 2 diabetes and promoting sustainable weight loss through a nutrition-first approach. The company offers personalized treatment plans that help individuals reduce or eliminate the need for diabetes medications. Virta collaborates with organizations and healthcare providers to deliver transformative outcomes in metabolic care. Their approach is evidence-backed, emphasizing the importance of lifestyle and dietary changes to achieve lasting health improvements and weight management.
• Lead and grow the data engineering and analytics engineering disciplines • Coach engineers, set expectations, and support technical and career growth • Assess capability gaps and define profiles for additional hires • Complete the BigQuery medallion architecture and Looker Core migration • Lead validation, stakeholder onboarding, and retirement of legacy data paths • Build relationships with Engineering, Analytics, Finance, Commercial, and Clinical stakeholders • Translate stakeholder needs into a focused roadmap and resolve competing priorities • Expand self-service through reusable ingestion and transformation patterns, tooling, documentation, and standards • Guide reusable dbt models, shared semantic definitions, and LookML development • Build and operate data agents and enable governed datasets and semantic context for AI and ML workflows • Partner with Applied AI and MLOps on data access, quality, and interfaces • Establish ownership, testing, freshness expectations, alerts, and incident practices • Partner with Security and Infrastructure on access controls, PHI/PII protection, lineage, and cost management • Apply AI-assisted development and automation to reduce toil and improve delivery • Measure adoption, migration progress, reliability, and stakeholder feedback • Deliver migration or self-service milestones and align quarterly roadmap priorities
• 3+ years of engineering management experience • Direct leadership of both data engineering and analytics engineering work • Strong technical judgment across data pipelines, cloud warehouses, SQL, data modeling, transformation frameworks, orchestration, and BI or semantic layers • 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 • Track record of building reusable capabilities and helping other teams adopt them • Experience hiring, coaching, and managing performance across different engineering skill sets • Experience building collaborative teams in a remote or asynchronous environment • Clear communication with technical and business audiences • Experience with BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go, or infrastructure as code is a bonus • Experience building data agents, governed natural-language analytics, semantic layers for AI, or data capabilities supporting production ML systems is a bonus • Experience introducing AI-assisted development workflows with effective testing and review practices is a bonus • Experience in healthcare or another regulated industry, including sensitive-data governance and access controls, is a bonus • Authorization to work in the United States
• Remote-first work arrangement • Office hubs in Denver and San Francisco • Security and privacy training provided • AI-assisted development and automation opportunities • Location-based compensation structure • HIPAA, security, and privacy support procedures • Equal employment opportunity protections
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