[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is building the reputed company of reputed company billing, aiming to reputed company reputed company processes reputed company and intelligent. They are seeking a Senior Data Engineer to contribute to data modeling and infrastructure, ensuring the platform's reliability and facilitating cross-team collaborations.

Responsibilities

• Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and reputed company trends
• Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, reputed company, or graph-based.)
• Contribute robust facts and dimensions that power analysis us and for our customers
• Own testing, reputed company, freshness monitoring, and alerting so data issues are caught before a customer sees them
• Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMs

Skills

• 4+ years in data reputed company. Bonus if you've been a reputed company 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 reputed company, DuckDB or reputed company — even reputed company-project or exploratory use
• Comfort analyzing data directly
• 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 reputed company customers (not just internal BI)

reputed company