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# Data Engineer

- **Company:** Innova Solutions
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $31,200.0 - $35,360.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Databases, Data Dictionary, Information Engineering, Data Mapping, Data Structures, Database Queries, JSON, Python (Programming Language), Metadata, Oracle (Applications), Oracle SQL Developer, Parsing, Standard Sql, SQL Databases, YAML, Toad (Software)
- **Published:** September 25, 2026
- **Apply:** https://www.jofdav.com/jobs/59852881-data-engineer

## About the Role

* 10 Years of Data Analysis/Data Engineering
 * 5 Years of Oracle Metadata
 * 5 Years of Oracle SQL
 * 2 Years of Data Mapping
 * 2 Years of Data Modeling, * 4+ years in data engineering, metadata engineering, semantic layer development, data analysis, or business data mapping.
 * Hands-on experience working with Oracle database metadata.
 * Experience connecting business terminology to physical database structures.
 * Experience working with business documentation, PDFs, data dictionaries, and technical metadata
 * Exposure to natural-language-to-SQL, semantic modeling, or AI context engineering is strongly preferred.
 * Strong SQL, especially Oracle SQL.
 * Intermediate Python for metadata parsing, document processing, mapping automation, and validation.
 * Working knowledge of YAML / JSON for structured semantic and mapping artifacts.

## Description

* This role converts business terms, definitions, synonyms, source metadata, and documentation into structured mappings that help GenAI interpret user questions and generate accurate database queries. 40% deep data analysis + 60% deep Oracle SQL work
 * Review strategic process inventory (SPI) PDFs, business documents, data dictionaries, and metadata extracts to identify business terms and domain concepts.
 * Oracle Metadata Analysis
 * Use Toad and Oracle metadata extracts to understand available schemas, tables, columns, keys, and relationships.
 * Analyze physical data structures and determine which tables and columns support each business term.


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