Easetalent is a premier recruiting and consulting firm dedicated to connecting exceptional talent with ideal career opportunities. Our mission is to facilitate the growth and success of both our candidates and partner companies by bridging the gap between talent and opportunity.
About the Role
We’re looking for a sharp, curious, and proactive Data Engineer who thrives in fast-paced environments and takes pride in building scalable, production-grade data systems. You’ll design modern ELT pipelines, integrate semantic layers with LLM tooling, and transform raw, fragmented healthcare data into customer-facing analytics. This is a rare opportunity to shape our data architecture from the ground up, working directly with founders and product leaders.
What You’ll Do
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Build reliable, scalable systems that power complex integrations (e.g., PMS, payments) and internal tools.
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Take ownership of projects end-to-end from concept to deployed production system.
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Collaborate closely with product and commercial teams to align engineering with business outcomes.
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Write clean, maintainable code and continuously improve engineering processes.
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Develop and debug SQL-based data pipelines using dbt, and work extensively with BigQuery and other data warehouses.
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Integrate and experiment with LLM-powered data extraction and semantic tooling.
What We’re Looking For
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2–5 years of experience building production-grade data systems.
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Strong SQL skills and proficiency with dbt and modern ELT pipelines.
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Experience with Dagster, Airbyte, BigQuery, Cube, Metabase, PostgreSQL, or similar tools.
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Solid understanding of data modeling, orchestration, and data warehouse design.
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A builder mindset — self-directed, execution-focused, and comfortable making decisions with impact.
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Bonus: Experience in fintech or healthcare, especially dentistry.
Tech Stack
Data: Dagster, Airbyte, dbt, BigQuery, Cube, Metabase, PostgreSQL, Supabase
AI/LLMs: Google Vertex, Azure AI Foundry, OCR
App Layer: TypeScript, Next.js, Tailwind CSS, Node.js, Drizzle, Vercel