Vulcury
1 - 10 employees
Founded 2022
🤝 B2B
📚 Education
🏠 Real Estate
B2B • Education • Real Estate
Vulcury is a combined venture studio and consulting firm that helps businesses and entrepreneurs turn ideas into scalable companies while providing strategic advisory services. The venture studio incubates, validates, and spins out startups with focus areas including investment research, manufacturing innovation, real estate development, education/EdTech, and emerging technologies. The consulting division delivers strategic planning, operational efficiency, financial modeling, market analysis, and growth acceleration to help organizations scale and execute effectively.
Data Engineer – Pipelines, Structured Markup
Job not on LinkedIn
🕒 February 12
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Vulcury
1 - 10 employees
Founded 2022
🤝 B2B
📚 Education
🏠 Real Estate
B2B • Education • Real Estate
Vulcury is a combined venture studio and consulting firm that helps businesses and entrepreneurs turn ideas into scalable companies while providing strategic advisory services. The venture studio incubates, validates, and spins out startups with focus areas including investment research, manufacturing innovation, real estate development, education/EdTech, and emerging technologies. The consulting division delivers strategic planning, operational efficiency, financial modeling, market analysis, and growth acceleration to help organizations scale and execute effectively.
📋 Description
• Design and maintain ingestion pipelines (Python-based ETL/ELT) • Design structured transformation workflows using dbt, SQLMesh, or equivalent • Convert unstructured transcripts and documents into normalized database records • Maintain PostgreSQL architecture (structured tables, JSONB, indexing strategy) • Develop attribute extraction frameworks for technical, commercial, and risk signals • Ensure data quality, consistency, and lineage from raw interaction to structured output • Collaborate with AI/ML engineers to ensure clean model inputs
🎯 Requirements
• 4-5 years of experience • Strong Python (data pipelines, orchestration) • Advanced SQL (PostgreSQL preferred) • Experience with ETL/ELT frameworks (dbt, Airflow, SQLMesh, etc.) • Experience handling semi-structured data (JSON, transcripts, document parsing) • Strong schema design and normalization skills • Familiarity with cloud storage systems (S3 or equivalent)
🏖️ Benefits
• Competitive salary • Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities
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