Data Engineer, Pipelines, Structured Markup

Job Description:
• 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:
• 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