Description of the RoleAs 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 ResponsibilitiesLead development of the agentic connector pipeline — automating source profiling, field mapping, dbt model generation, and validationDesign and build AI-assisted data ingestion workflows using LLM APIs and agentic orchestration frameworksOwn the first 2–3 end-to-end agent-built connectors as proof of concept for the broader teamEstablish internal AI tooling standards and patterns; mentor team on agentic development practicesDesign, build, and maintain data pipelines and systems to meet business needsImplement data quality control processes and contribute to observability frameworksDocument new and existing systems, designs, processes, and proceduresWork on-call 3–9% of the year, one week at a time, to support production failures and emergent business needsMentor and learn from colleagues through pair/mob programming, design reviews, and Lunch & LearnsRequired Qualifications5+ years of experience in data engineering or a related field1–2+ years of hands-on experience building with LLM APIs and agentic frameworksStrong Python and SQL proficiencyExperience with Databricks and AWSStrong understanding of data lake architecture, data modeling, and medallion patterns (Bronze/Silver/Gold)Experience building and consuming APIsExperience with data quality control and pipeline observabilityStrong debugging, problem-solving, and analytical skillsExcellent written and verbal communication skillsComfortable working in a fast-moving, ambiguous environmentStrong PlusesExperience with dbt and modern data transformation patternsFamiliarity with healthcare data formats: CCDAs, 837s, FHIR APIs, CDS Hooks, HL7Experience with Tuva or similar clinical data normalization frameworksKnowledge of Value-Based Care and Accountable Care OrganizationsExperience with EHR integrations (Epic, NextGen, Athena, ECW)Familiarity with orchestration tools (Databricks Workflows, Airflow, or equivalent)Experience in a startup or high-growth environment
