This is a remote position.

US – Data Engineer (Pipelines & Structured Markup)

Role Overview

Vulcury is building a manufacturing intelligence infrastructure that converts raw interactions — interviews, transcripts, CAD uploads, commercial discussions — into structured, queriable data objects.

We are seeking a Data Engineer to design and maintain ingestion pipelines and structured transformation workflows that power our internal semantic “truth layer.”

Responsibilities

• Build 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

Required Skills

• 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)

Nice to Have

• Experience building semantic layers or knowledge graphs




• Experience working with manufacturing or technical data




• Familiarity with vector databases

Benefits