[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company. is focused on revolutionizing utility billing through their intelligence platform. They are seeking a Senior Data Engineer to contribute to data modeling, reporting, and building AI-ready 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, vector, 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 platform engineering. Bonus if you've been a primary builder on a platform from early stages
- Strong Python and SQL
- Hands-on DBT experience
- Dimensional modeling reputed company. Star schemas, facts and dimensions
- Direct 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
- Experience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval
- Azure experience
- Utility, energy, PropTech, or billing domain background
- Experience building data products for external customers (not just internal BI)
Company Overview