[Hiring] Senior Data Engineer @Dandy

Role Description

Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform — ingestion, pipelines, and the warehouse feeding downstream tools like Looker and Hex — that Sales, Marketing, Manufacturing, People, Finance, and ML teams rely on every day. In this role, you'll build and scale the infrastructure that turns raw data into trusted, self-serve data products, and help lay the foundation for an AI/agent-ready data platform. It's a rare chance to have outsized, ground-floor impact on how the entire company works with data.

What You'll Do

• Design, build, and operate ingestion pipelines and connectors (e.g., Fivetran, dbt, BigQuery) that reliably land data from disparate source systems into our warehouse.
• Own and evolve core platform components — dbt models and the semantic layer, data quality/observability, and orchestration — that power our BI tools and internal analytics apps.
• Partner directly with stakeholders across Finance, GTM, Manufacturing, and ML to translate business needs into governed, self-serve data products.
• Help extend the platform to support AI and agent-based workflows — governed data access, semantic layers usable by LLMs/agents, and the guardrails to keep that safe at scale.

Qualifications

• 5+ years of experience in a data engineering, data platform, or SQL-heavy analytics engineering role (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 a 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 Points For

• 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.

Benefits

• Healthcare.
• Dental.
• Mental health support.
• Parental planning resources.
• Retirement savings options.
• Generous paid time off.

Company Description

Dandy is transforming the massive and antiquated dental industry—an industry worth over $400B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology.