Senior Data Engineer

Senior Data Engineer At Billee, we’re building the next generation of utility billing. Our goal is simple: make a complex, manual, and fragmented process feel seamless, transparent, and intelligent.Our intelligence platform turns raw utility 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 move from foundation to scale.What you'll work onReporting & analytics. Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and rate trendsAI-ready data infrastructure. Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, vector, or graph-based.)Dimensional modeling at the core. Contribute robust facts and dimensions that power analysis us and for our customersPlatform reliability. Own testing, lineage, freshness monitoring, and alerting so data issues are caught before a customer sees themCross-team partnership. Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMsOur stackWarehouse: MotherDuck / DuckDBOrchestration: DagsterTransformation: DBTLanguage: Python, SQLCloud: AzureAdjacent: Hex, MCPRequirements4+ years in data platform engineering. Bonus if you've been a primary builder on a platform from early stagesStrong Python and SQL.Hands-on DBT experience.Dimensional modeling fluency. Star schemas, facts and dimensionsDirect experience with our stack is a significant plus. In order of preference:Dagster (asset-based orchestration, sensors, partitions) — strongly preferred over Airflow experience aloneDuckDB or MotherDuck — even side-project or exploratory useComfort analyzing data directly.BonusExperience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for structured retrievalAzure experienceUtility, energy, PropTech, or billing domain backgroundExperience building data products for external customers (not just internal BI)Who we're looking forCollaborative builder. You turn vague requirements into concrete solutions by asking good questions, not by guessingComfortable with ambiguity. Our roadmap shifts; you can prioritize and make progress on incomplete informationOwnership mindset. You treat the platform as a product — monitoring and proactive thinking about future needsQuality advocate. You believe tests, observability, and lineage are features, not overheadCurious about new tooling. You've been watching the modern data stack evolve and have opinions — about DuckDB, about Dagster vs. Airflow, about where LLMs do and don't belong in data pipelinesNo-task-too-small mindset. Small team, lots of surface area. You'll occasionally build a quick report or debug someone else's pipeline