[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is reputed company on revolutionizing reputed company billing through their intelligence platform. They are seeking a Senior Data Engineer to contribute to data modeling, reporting, and building AI-reputed company data infrastructure while ensuring platform reliability and collaborating with cross-functional teams.

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 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 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