Data Automation

The Role

We are seeking a Senior Automation &/ or Data Engineer with deep hands-on experience in agentic AI, modern LLMs, and full-stack data engineering. This role is purpose-built for someone who thrives at the intersection of intelligent automation, real estate technology, and enterprise data infrastructure. You won't just design systems — you'll build them, test them, and own the technical lift end to end.

You'll work directly with our team to map, build, and deploy automated workflows that span our CRM (Salesforce), real estate platforms (Yardi & Allvue), and cloud infrastructure.

Required Skills & Experience

• 5+ years of experience in data engineering, full-stack development, or automation engineering
• Proven hands-on experience with ETL automation tools
• Strong proficiency in Python (primary) and comfort with JavaScript/TypeScript for full-stack components
• Experience integrating with Salesforce
• Experience building and deploying on modern cloud platforms
• Solid background in schema design, pipeline orchestration, data lineage, and connector development
• Hands-on experience with OCR tools and document extraction
• Comfort working across the stack — from cloud infra and APIs to front-end dashboards

Preffered Skills & Experience

• Experience with K-1 / financial document automation in a real estate, private equity, or fund accounting context
• Familiarity with ERP integrations
• Familiarity with Yardi and/or Allvue APIs or data models (real estate / fund admin context strongly preferred)
• Experience with workflow orchestration tools (Apache Airflow, Prefect, Temporal)

Key Responsabilties

• Design and manage data schemas, connectors, and lineage across cloud environments
• Build scalable pipelines on modern cloud providers (ETL/ELT, event-driven, and streaming)
• Ensure data quality, observability, and traceability across all integrated systems
• Own documentation of data flows, integration maps, and system dependencies
• Design, build, and deploy automated ETL workflows using modern LLMs
• Implement LLM-based extraction, classification, and triage pipelines for structured and unstructured data
• Architect and maintain deep integrations between Salesforce and internal/external systems
• Build bidirectional data connectors for Yardi and Allvue to support real estate workflows (investor reporting, fund accounting, asset management)
• Build and maintain OCR pipelines for automated capture of invoices, financial documents, and K-1 tax forms
• Apply AI/ML-based extraction to identify, validate, and route structured data from unstructured documents