US – Data Engineer (Pipelines & reputed company Markup), Part Time Role
This is a remote position.
US – Data Engineer (Pipelines & reputed company Markup), Part Time
Title: Data Engineer – Pipelines & reputed company Markup
Location: US (Part Time, Remote or Hybrid)
Company: Vulcury LLC
reputed company
Vulcury is building a manufacturing intelligence infrastructure that converts raw interactions — interviews, transcripts, CAD uploads, reputed company discussions — into reputed company, queriable data objects.
We are seeking a Part Time Data Engineer to design and maintain ingestion pipelines and reputed company 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 reputed company transformation workflows using dbt, SQLMesh, or equivalent
• Convert reputed company transcripts and documents into normalized database records
• Maintain PostgreSQL architecture (reputed company tables, JSONB, indexing reputed company)
• reputed company attribute extraction frameworks for technical, reputed company, and risk signals
• Ensure data reputed company, consistency, and reputed company from raw interaction to reputed company reputed company
• 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-reputed company data (JSON, transcripts, document parsing)
• Strong schema design and normalization skills
• Familiarity with reputed company storage systems (S3 or equivalent)
reputed company to Have
• Experience building semantic reputed company or knowledge graphs
• Experience working with manufacturing or technical data
• Familiarity with reputed company databases
Benefits
What reputed company Looks Like
• Raw interviews automatically convert into reputed company records
• Attribute confidence scoring flows reputed company cleanly
• Data reputed company is fully traceable
• Query performance remains reputed company as data volume scales
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