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SQL Developer Remote Part-time Contract

Remote / Online - Candidates ideally in
North Bay Village, Miami-Dade County, Florida, USA
Listing for: SherlockTalent
Part Time, Contract, Remote/Work from Home position
Listed on 2026-08-03
Job specializations:
  • Software Development
    SQL Developer, Data Engineering, Azure
Salary/Wage Range or Industry Benchmark: 55104 - 123984 USD Yearly USD 55104.00 123984.00 YEAR
Job Description & How to Apply Below

Position: SQL Developer, Remote Part-time, East Coast daytime meeting times required

Level: Senior

Location:

Remote, Part-time, East Coast United States timezone

Compensation:
Hourly rate based on experience

Reports to:

CIO

The Role Sherlock Talent  is hiring a SQL Developer to build an internal data intelligence platform — a database application that turns procurement documents into structured, queryable competitive intelligence. You'll design, build, and evolve the database layer in a purely Microsoft / Azure Cloud environment. You'll own the schema: designing new entities, refactoring legacy structures, and building the data foundation that powers AI-driven document ingestion and analytics.

This is a hands-on build role. You'll work from detailed design references and real-world document cases, translating business rules directly into clean, enforceable database structure.

What You’ll Do
  • Design and implement relational schemas in Azure SQL — new tables, new fields, and controlled extensions to existing reference data
  • Refactor and consolidate legacy structures: merging duplicate entities, deprecating obsolete fields, and migrating data without breaking downstream dependencies
  • Build normalized designs using lookup/reference tables, junction tables, and multi-level parent-child hierarchies with proper foreign keys and cascade rules
  • Design audit and import-logging structures that capture full traceability for every data load — status states, error detail, user attribution, and raw payloads for reprocessing
  • Support an AI-assisted document extraction pipeline: schemas that store raw AI output, staging/validation states, and alias-mapping structures for fuzzy entity matching
  • Integrate with Azure Blob Storage — modeling document references and validated output artifacts at the schema level
  • Implement data-quality logic at the database layer: computed aggregates, statistical fields (averages, standard deviation), and automated outlier flagging
  • Get data typing right: correct numeric precision for financial values, proper handling of ranges, flags, and timestamps
  • Model role-based access (edit vs. read-only) at the data level
Required Skills
  • Strong T-SQL: DDL, constraints, foreign keys, cascade behavior, indexing
  • Proven Azure SQL Database experience — this is a 100% Microsoft/Azure environment
  • Schema design and refactoring in live systems: you've consolidated entities, deprecated fields, and versioned schema changes cleanly
  • Deep fluency in normalization patterns: lookup tables, junction tables, one-to-many and many-to-many relationships
  • Experience designing audit trails and import/ETL logging structures
  • Precision with data types — especially DECIMAL handling for pricing/financial data and the pitfalls of integer truncation
  • Ability to read a technical design reference and implement it faithfully, flagging conflicts and gaps rather than improvising silently
  • Preferred Skills
  • Experience supporting AI/LLM extraction pipelines (storing raw JSON responses, validation workflows, human-in-the-loop review states)
  • Azure Blob Storage integration patterns
  • Data validation and staging workflows (pending ? review ? complete life cycles)
  • Statistical computation in SQL (aggregates, deviation, outlier detection)
  • Exposure to procurement, bidding, or pricing-data domains
  • Environment
  • Microsoft stack only:
    Azure SQL Database, Azure Blob Storage, Azure Cloud services
  • Remote, part-time contract with flexible hours, EAST COAST REGULAR OFFICE HOURS Meeting time required
  • Direct collaboration with the platform development team; design references provided
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