Senior Data Engineer building Dandy’s data infrastructure for its technology-powered dental operating system. Developing pipelines, governed data products, and AI-ready platform capabilities.
Responsibilities
Design, build, and operate ingestion pipelines and connectors such as Fivetran, dbt, and BigQuery
Reliably land data from disparate source systems into the warehouse
Own and evolve dbt models, the semantic layer, data quality/observability, and orchestration
Power BI tools and internal analytics applications
Partner with Finance, GTM, Manufacturing, and ML stakeholders to translate business needs into governed, self-serve data products
Extend the platform to support AI and agent-based workflows, including governed data access, LLM/agent-usable semantic layers, and safety guardrails at scale
Requirements
5+ years of experience in a data engineering, data platform, or SQL-heavy analytics engineering role
Track record of building data ingestion pipelines, connectors, and transformation workflows in production
Expert-level SQL
Working fluency in Python or a similar language for platform tooling and automation
Hands-on exposure to Looker, Hex, dbt, and/or equivalent BI/analytics tooling
Ability to work across teams to gather requirements and drive consensus on data platform decisions
Track record of standing up new data engineering processes through ambiguity
Willingness to fix problems hands-on
Intellectual curiosity and strong troubleshooting instincts
Exposure to healthcare or other regulated, compliance-heavy environments is a bonus
Experience building infrastructure supporting ML/AI workflows or agentic, LLM-powered products is a bonus
Experience building pipelines with compliance handling for PHI/PII data, particularly in healthcare, is a bonus
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