Senior Data Engineer

🕒 June 24

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Vytalize Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

☁️ SaaS

⚕️ Healthcare Insurance

💰 $100M Series C - Vytalize Health on 2023-02

B2B • SaaS • Healthcare Insurance

Vytalize Health is a healthcare technology and services company that helps primary care practices and Accountable Care Organizations (ACOs) transition to value-based care. It combines data-driven analytics, virtual and in-home clinical support, and care management services to improve patient outcomes, enable Medicare-approved remote services for chronic conditions, and help practices earn shared savings under value-based contracts. Vytalize partners with independent PCPs, group practices, community health centers and existing ACOs to deliver clinical enablement, practice-tailored workflows, and performance insights.

📋 Description

• Lead development of the agentic connector pipeline — automating source profiling, field mapping, dbt model generation, and validation • Design and build AI-assisted data ingestion workflows using LLM APIs and agentic orchestration frameworks • Own the first 2–3 end-to-end agent-built connectors as proof of concept for the broader team • Establish internal AI tooling standards and patterns; mentor team on agentic development practices • Design, build, and maintain data pipelines and systems to meet business needs • Implement data quality control processes and contribute to observability frameworks • Document new and existing systems, designs, processes, and procedures • Work on-call 3–9% of the year, one week at a time, to support production failures and emergent business needs • Mentor and learn from colleagues through pair/mob programming, design reviews, and Lunch & Learns

🎯 Requirements

• 5+ years of experience in data engineering or a related field • 1–2+ years of hands-on experience building with LLM APIs and agentic frameworks • Strong Python and SQL proficiency • Experience with Databricks and AWS • Strong understanding of data lake architecture, data modeling, and medallion patterns (Bronze/Silver/Gold) • Experience building and consuming APIs • Experience with data quality control and pipeline observability • Strong debugging, problem-solving, and analytical skills • Excellent written and verbal communication skills • Comfortable working in a fast-moving, ambiguous environment

🏖️ Benefits

• None specified