Data Engineering Lead (AI)

Location: Remote within the United States; on-site meetings are required multiple times per year for interviews, onboarding, and team meetings.

Salary: $160,000–$180,000/year.

Company

hirify.global is a San Francisco-based healthcare technology and clinical services startup providing a SaaS medication-management platform that combines data science, machine learning, AI, and clinical expertise.

What you will do

• Lead a squad of up to three Data Engineers delivering and maintaining customer ETL pipelines.
• Own data engineering requirements, delivery timelines, backlog grooming, project coordination, and stakeholder risk communication.
• Design and maintain dbt transformation pipelines using macros, incremental models, Python models, and dbt tests.
• Conduct peer reviews, DE UATs, data validation, and post-UAT issue resolution with QA and CSA teams.
• Provide technical guidance, mentorship, documentation, coding standards, and cross-coverage across the engineering team.
• Build and integrate AI agents with tool use, memory, multi-step reasoning, MCP integrations, guardrails, and observability for data quality, pipeline monitoring, and analytics workflows.

Requirements

• 6+ years working with data in production environments, including experience with large-scale datasets of 10GB or more.
• Must live in and be eligible to work in the United States; ability to pass a background check.
• Proven ability to lead a small team of up to three engineers.
• Experience building automated ETL workflows with Python and dbt SQL, including production-grade dbt macros, incremental models, Python models, and testing.
• Strong data processing, validation, cleaning, and debugging skills across complex datasets.
• Working knowledge of agentic frameworks such as LangChain, LangGraph, CrewAI, or the Claude Agent SDK, with hands-on experience building agents with tool use, memory, and multi-step reasoning integrated with data platforms and pipelines.
• Experience building, evaluating, and deploying AI agents, including MCP/tool integrations, guardrails, and observability.
• Deep, demonstrable understanding of healthcare and healthcare claims data.
• Excellent verbal and written communication skills; comfort using modern data technologies and AI coding assistants.
• Maintain a private work area and reliable low-latency internet suitable for video and voice calls.

Nice to have

• Experience with AWS frameworks including S3, DynamoDB, Batch, or Step Functions.
• Experience with Snowflake.
• Data modeling experience for reporting and business intelligence solutions.

Culture & Benefits

• Work with clinicians, engineers, software architects, and digital health entrepreneurs on medication-management technology.
• Learning and growth opportunities within a rapidly growing healthcare AI company.
• Remote work with required on-site meetings multiple times per year.
• Participation in information security, security awareness, and HIPAA training before receiving role-specific access.
• Salary range excludes other potential compensation components, benefits, and perks.