Senior Data Engineer - Agentic AI

Vytalize Health

Topeka, Kansas, United States

Topeka, Kansas, United States

About

Senior Data Engineer - Agentic AI Description of the Role As a Senior Data & Software Engineer focused on agentic AI, you will help design, build, and maintain the intelligent data pipelines and automation systems that enable Vytalize Health to scale its data source coverage without linearly scaling the team. Working cross-functionally, your solutions will drive better patient outcomes by accelerating the normalization and governance of clinical and claims data. You will be part of a small, high-performing healthcare data engineering team where engineers support each other's growth through mentorship and tight collaboration.
Primary Responsibilities
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
Required Qualifications
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
Strong Pluses
Experience with dbt and modern data transformation patterns
Familiarity with healthcare data formats: CCDAs, 837s, FHIR APIs, CDS Hooks, HL7
Experience with Tuva or similar clinical data normalization frameworks
Knowledge of Value-Based Care and Accountable Care Organizations
Experience with EHR integrations (Epic, NextGen, Athena, ECW)
Familiarity with orchestration tools (Databricks Workflows, Airflow, or equivalent)
Experience in a startup or high-growth environment
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Topeka, Kansas, United States

Languages

English

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