Data Engineer / Document AI Engineer
SolveIT Services Inc
United States
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Microsoft Windows
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Storage
Relational Databases
Noise Reduction
Google Docs
Information Extraction
Python (Programming Language)
SQL Azure
+6 more
Operational Databases
Microsoft SharePoint
SQL Databases
Microsoft Power Automate
Microsoft Fabric
Serverless Computing
Requirements
- Five or more years building production data pipelines, with at least two years on document processing, OCR, or information extraction at scale.
- Strong Python. Comfortable owning a pipeline from ingestion through storage without handoffs.
- Hands-on experience with a cloud document intelligence service. Azure AI Document Intelligence preferred; AWS Textract or Google Document AI experience transfers.
- Practical image preprocessing for degraded scans: deskew, denoise, binarization, contrast handling. You have made bad faxes readable before.
- Structured extraction from unstructured text using large language models, including prompt design for reliable field-level output and handling of non-deterministic responses.
- Entity resolution or record linkage experience. You understand why fuzzy name matching alone fails and what to do about it.
- SQL and relational data modeling, including modeling typed relationships between records.
- Experience measuring data quality quantitatively: error rates, confidence calibration, sampling design, and gold-set construction.
- United States citizenship and eligibility for federal public trust suitability screening., * Azure Government or Microsoft 365 GCC delivery experience, including working within FedRAMP-authorized service constraints and handling Controlled Unclassified Information.
- Microsoft Graph API and SharePoint Online at scale.
- Azure Functions, Azure SQL Database, Azure Blob Storage, Microsoft Fabric.
- Power Automate for event-driven triggers.
- Prior federal contract delivery, particularly against a fixed-price schedule with defined acceptance gates.
- Knowledge graph construction or graph query experience.
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