Job Description
This is a remote position.
US – Data Engineer (Pipelines & Structured Markup), Part Time
Title: Data Engineer – Pipelines & Structured Markup
Location: US (Part Time, Remote or Hybrid)
Company: Vulcury LLC
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 Part Time Data Engineer to design and maintain ingestion pipelines and structured transformation workflows that power our internal semantic “truth layer.”
This is not a reporting role.
This is a semantic infrastructure role.
- 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
- What Success Looks Like
- Raw interviews automatically convert into structured records
- Attribute confidence scoring flows downstream cleanly
- Data lineage is fully traceable
- Query performance remains stable as data volume scales
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