Data Engineer

Jimmy Technologies; United States; Remote; USD 101,000 - 141,000; Full time

Job summary

Jimmy Technologies is seeking a Senior Data / Ingestion Engineer for a long-term remote-first contract focused on ingestion pipelines for unstructured insurance documents. You will design scalable systems, integrate OCR, and build robust connectors to sources like SharePoint and email, enabling AI-ready data for RAG models.

The role prioritizes secure, low-latency processing for a European client base. The ideal candidate has 5–10 years in data engineering, strong Python/SQL skills, experience

Qualifications

• 5–10 years of data engineering experience.
• Hands-on with building data processing and document ingestion pipelines on public cloud.
• Experience processing unstructured documents (PDF, Word, Excel, PowerPoint, scans, emails).
• Experience building connectors to enterprise sources like SharePoint and email.

Responsibilities

• Design scalable pipelines for ingesting high-volume unstructured insurance documents.
• Build connectors to document sources such as SharePoint and email.
• Integrate OCR and document parsing to extract high-accuracy text and layouts.
• Create automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging.
• Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models.
• Ensure pipelines meet security and low-latency SLA requirements.
• Implement automated error monitoring and extraction validation for OCR outputs.
• Apply engineering best practices: version control, CI/CD, testing.

Skills

Python

SQL

OCR tools

CI/CD

Data pipelines

SharePoint

Git

Cloud platforms

Unstructured docs

Tools

SharePoint

Azure Databricks

S3

CloudWatch

Job description

Описание:

We are looking for a Senior Data / Ingestion Engineer for our client, a consultancy that helps banks and insurers transform their operations through AI, automation, and advanced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms. You will join their delivery for a Dutch insurance client. We're looking for an engineer with deep experience building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies. You will turn high volumes of insurance documents (PDFs, scans, emails, Office files) into structured, high-quality, AI-ready data that feeds downstream RAG and AI models. This is a long-term remote-first contract position for candidates based in Europe.

Задачи:

• Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint).
• Build connectors to document sources such as SharePoint and email.
• Integrate, configure, and optimise OCR and document parsing technologies to extract high-accuracy text and layouts.
• Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging.
• Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models.
• Ensure document processing pipelines meet enterprise security and low-latency SLA requirements.
• Build automated error monitoring and extraction validation loops that flag low-confidence OCR outputs.
• Apply engineering best practices across the pipeline lifecycle: version control, CI/CD, and testing.

Work Conditions

Start Date: ASAP Location: Remote within Europe (CEE preferred) Long-term contract-based role: until July 2027 with possible extension Contract with EU LCC

Требования:

• 5–10 years' experience in data engineering.
• Proven experience building data processing and document ingestion pipelines on public cloud platforms.
• Hands-on experience processing unstructured documents (PDF, Word, Excel, PowerPoint, scans, emails).
• Experience building connectors to enterprise sources such as SharePoint and email.
• Practical experience with document extraction / OCR tools, e.g. AWS Textract or equivalent.
• Strong engineering practices: Git, CI/CD, automated testing.
• Experience in banking or insurance is an advantage.
• Mandatory Python, SQL.
• AWS: S3, Step Functions, CloudWatch OCR / document extraction: AWS Textract or equivalent.
• Unstructured document processing and ingestion pipelines Git, CI/CD, testing.
• Vector databases and RAG architectures Azure, Databricks.
• Financial services / insurance domain experience.