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Dandy is transforming the dental industry (a $400B+ market) by building an operating system for dental practices worldwide. The Data Infrastructure team owns the data platform—ingestion, pipelines, and warehouse—that feeds downstream tools like Looker and Hex for Sales, Marketing, Manufacturing, People, Finance, and ML teams.
As a Senior Data Engineer, you will design, build, and operate ingestion pipelines and connectors (Fivetran, dbt, BigQuery) that reliably land data from disparate source systems into the warehouse. You'll own and evolve core platform components including dbt models, the semantic layer, data quality/observability, and orchestration that power BI tools and internal analytics apps. You'll partner directly with stakeholders across Finance, GTM, Manufacturing, and ML to translate business needs into governed, self-serve data products. You'll also help extend the platform to support AI and agent-based workflows—governed data access, semantic layers usable by LLMs/agents, and guardrails to keep that safe at scale.
This is a hands-on role with outsized, ground-floor impact on how the entire company works with data. You'll work in a rapidly growing, venture-backed environment where data infrastructure is foundational to the company's AI/agent-ready future.
REQUIREMENTS:
- 5+ years of experience in data engineering, data platform, or SQL-heavy analytics engineering roles (high-growth startup environments highly preferred)
- Track record of building data ingestion pipelines, connectors, and transformation workflows (dbt or equivalent) in production
- Expert-level SQL, plus working fluency in Python or similar language for platform tooling and automation
- Hands-on exposure to Looker, Hex, dbt, and/or equivalent BI/analytics tooling, with a point of view on evaluating and integrating them into a broader platform
- Demonstrated 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 roll up your sleeves and fix problems hands-on, paired with intellectual curiosity and strong troubleshooting instincts
BONUS:
- Exposure to healthcare or other regulated, compliance-heavy environments
- Experience building infrastructure that supports ML/AI workflows or agentic, LLM-powered products
- Experience building pipelines with compliance handling for PHI/PII data, particularly in healthcare
