Data Engineer

Job summary

Join a team that’s transforming mental healthcare. Founded by psychiatrists, Hea*** is more than a company: it’s a movement. A movement that exists on the front lines of the mental health crisis, transforming the way people access care and the way clinicians deliver it.

Benefits

Qualifications

• 3+ years of data engineering experience in a production environment
• Strong SQL
• HubSpot CRM data integration experience (Contacts, Deals, Tickets, Company hierarchy, API rate limit handling)
• Healthcare data experience: EHR integrations (NextGen, Epic, or Cerner), credentialing systems, claims data, HIPAA BAA contexts
• Experience building or maintaining AI/LLM-powered applications (Claude, OpenAI) in a production context
• Familiarity with voice or telephony data pipelines, conversational AI systems, or patient intake automation
• Experience with complex provider or resource scheduling systems and the data modeling they require
• Exposure to CAC, LTV, or patient funnel analytics in a B2C healthcare or SaaS context
• Strong communication
• Research indicates that women, communities of color, and historically underrepresented individuals are often hesitant to apply for jobs unless they meet every qualification.
• We are committed to cultivating a diverse, inclusive, and genuine workplace.
• If you're enthusiastic about this position but your previous experience doesn't precisely match every qualification listed, we enthusiastically encourage you to submit your application.

Responsibilities

• You will work directly alongside the VP of Analytics and CTO on production systems that run 24/7 in a HIPAA-regulated environment.
• This is a hands-on engineering role - you will own pipelines, write stored procedures, debug integrations, and ship improvements every week.
• You will develop AI-powered automation as we continuously improve our data and operations activities.
• Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution, and resolve production failures
• Build and maintain data pipelines powering operational reporting for scheduling, finance, credentialing, and clinical operations
• Integrate data sources into the warehouse - EHR (NextGen), CRM (HubSpot), HR platforms (ADP, Lever), credentialing (Modio), call center (Five9), and other third-party APIs
• Optimize high-frequency SQL workloads
• Support and extend custom AI agents
• Maintain HIPAA compliance across all data handling: enforce access controls, audit logging, and PHI segregation in pipelines and reporting layers
• Write and maintain version-controlled code in the GitHub repository
• Required

Skills

Degrees

Work schedule

Industry

Company size

Security clearance