Senior Data Engineer, AI Ingestion Platform

Software Mind

Senior Data Engineer building AI ingestion pipelines for the real estate sector. Joining a multicultural team at Software Mind focused on innovative technology solutions.

Posted 6/17/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies

AWSDynamoDBETLPython

About the role

Key responsibilities & impact

Build and own the historical email ingestion pipeline via Microsoft Graph API
Implement SharePoint / OneDrive document ingestion pipeline with scoped folder access
Design and implement the PII minimisation pre-processing layer
Build the vector store indexing workflow (OpenSearch/Pinecone) with per-tenant data isolation
Define and implement the data processing schema; produce and maintain schema documentation
Build the OCR routing orchestrator and integrate OCR service for scanned documents
Implement the raw text / content extraction layer for all supported document types
Define and prototype push vs. pull ingestion strategy, from one-time PoC through to incremental nightly pipeline
Ensure data lineage and audit traceability are built into pipeline outputs from the outset

Requirements

What you’ll need

6+ years in data engineering; strong pipeline and ETL/ELT experience required
Proficiency in Python for data pipeline development
Experience with Microsoft Graph API or similar enterprise email/document APIs (M365, Exchange Online)
AWS data services: S3, DynamoDB, Glue, and/or Lambda-based event-driven processing
Familiarity with PII detection and data minimisation techniques (regex-based, NER-based, or purpose-built libraries)
Experience with vector store indexing or semantic search pipeline construction

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities
Work in a multicultural team

ATS Keywords

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Hard Skills & Tools

data engineeringpipeline developmentETLELTPythonMicrosoft Graph APIAWS S3AWS DynamoDBAWS Gluevector store indexing