Harbor Compliance
Staff Data Engineer
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Job Description
Great Place to Work® Certified | USA
Harbor Compliance is a leading technology platform for entity compliance, helping more than 80,000 businesses and nonprofits manage licensing, tax registration, and legal entity requirements nationwide. Founded in 2012 and recognized repeatedly by the Inc. 5000 and Deloitte Technology Fast 500, we've grown through five strategic acquisitions — and are now backed by a 2026 majority growth investment from Bregal Sagemount to accelerate product, AI, and customer experience. We're a passionate team making compliance simpler and smarter for every organization we serve.
Harbor Compliance is building its first end-to-end data platform
— unifying fragmented data from HubSpot, financial systems, and HRIS into a single, AI-augmented source of truth for executive decision-making. As Staff Data Engineer, you'll be a foundational technical hire, working closely with the Sr. Director of Data Platform & Analytics to design and build the real-time, AI-ready data infrastructure that powers this platform. This is a hands-on role for someone who wants to build from the ground up, not maintain what already exists.
Key Responsibilities
- Design, build, and own near real-time data pipelines (CDC, streaming ingestion, event-driven architectures) as the backbone of the platform's data flow
- Evaluate, implement, and maintain vector database infrastructure and embedding pipelines to support AI-augmented use cases (semantic search, retrieval-augmented generation, AI agents acting on company data).
- Design and build ELT/ETL pipelines ingesting data from our platform, financial platforms, CRM (HubSpot) and HRIS, feeding both real-time and batch use cases.
- Partner with the Sr. Director to architect the underlying warehouse/lakehouse as a supporting system of record — the storage layer beneath the streaming and AI infrastructure.
- Build lightweight transformation layers (e.g., dbt) as needed to enable our Analytic
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