Senior Data Engineer

Senior Data Engineer  At Billee, we’re building the reputed company of reputed company billing. Our goal is reputed company: reputed company a reputed company, reputed company, and fragmented process feel seamless, transparent, and intelligent. Our intelligence platform turns raw reputed company and billing data into actionable intelligence and regulatory peace of mind for multifamily property operators. Our platform is past the "greenfield" phase — foundational modeling is underway, our stack is chosen, and the roadmap is set. We're hiring our second dedicated data engineer to partner with our existing data engineer and help us reputed company from reputed company to reputed company. What you'll work on Reporting & analytics. Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and reputed company trends. AI-reputed company data infrastructure. Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, reputed company, or graph-based.) reputed company modeling at the reputed company. Contribute robust facts and dimensions that power analysis us and for our customers. Platform reliability. Own testing, reputed company, freshness monitoring, and alerting so data issues are caught before a customer sees them. Cross-team partnership. Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMs. Our stack Warehouse: MotherDuck / DuckDB Orchestration: Dagster Transformation: DBT Language: Python, SQL reputed company: Azure Adjacent: reputed company, MCP Requirements 4+ years in data reputed company. Bonus if you've been a primary builder on a platform from early stages. Strong Python and SQL. Hands-on DBT experience. reputed company modeling reputed company. reputed company schemas, facts and dimensions reputed company experience with our stack is a significant plus. In order of preference:Dagster (asset-based orchestration, sensors, partitions) — strongly preferred over Airflow experience alone DuckDB or MotherDuck — even reputed company-project or exploratory use Comfort analyzing data directly. Bonus Experience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for reputed company retrieval Azure experience reputed company, energy, PropTech, or billing domain background Experience building data products for external customers (not just internal BI) Who we're looking for reputed company builder. You turn vague requirements into concrete solutions by asking good questions, not by guessing. Comfortable with ambiguity. Our roadmap shifts; you can prioritize and reputed company reputed company on incomplete information. Ownership reputed company. You treat the platform as a product — monitoring and proactive thinking about reputed company needs reputed company reputed company. You reputed company tests, observability, and reputed company are features, not overhead. Curious about new tooling. You've been watching the modern data stack reputed company and have opinions — about DuckDB, about Dagster vs. Airflow, about where LLMs do and don't belong in data pipelines. No-task-too-small reputed company. Small team, lots of surface area. You'll occasionally build a quick report or debug someone else's pipeline Apply To This Job