Senior Data Engineer

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Datavant

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 $40M Series B on 2020-10

Healthcare Insurance • SaaS • Enterprise

Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.

📋 Description

• Lead the design and evolution of scalable data platform infrastructure • Drive complex, cross-functional initiatives with broad scope • Mentor and guide engineers across the team • Facilitate technical discussions and architecture decisions • Partner closely with stakeholders across Product, Engineering, Analytics, and Operations • Design and maintain reliable, observable, and reusable data workflows • Establish and evolve standards for testing, monitoring, incident response, operational reliability, security, and cost optimization • Review and guide code, infrastructure, and architectural decisions

🎯 Requirements

• 7+ years of progressive experience in software development or data engineering • AI-first mindset with hands-on experience leveraging AI-assisted engineering tools such as Claude Code, Cursor, GitHub Copilot, and ChatGPT • Deep expertise in modern data modeling and transformation practices • Strong experience designing reusable pipeline frameworks and orchestration strategies using dbt, Apache Airflow, Python, and cloud-native technologies • Strong experience designing and operating cloud-based data platforms in AWS, Azure, or GCP • Experience leading platform reliability initiatives including observability, monitoring, incident response, operational excellence, performance optimization, and cost management • Strong familiarity with CI/CD pipelines, GitOps workflows, automated testing strategies • Strong technical leadership and communication skills • Ability to lead through ambiguity, balance competing priorities, and drive high-impact initiatives from concept through delivery

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Professional development opportunities