Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
19 hours ago
SQLAWSAzurePython
Job Description
Data Engineer / Document AI Engineer
Required qualifications
- 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.
Preferred qualifications
- 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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