Note: The job is a remote job and is open to candidates in USA. RealPage is a provider of property management technology and financial data solutions. The Staff Platform Engineer will own and evolve financial data integration and ML classification platforms, including document parsing, ETL pipelines, model deployment, database architecture, and pipeline orchestration. The role also provides technical leadership and mentorship while supporting production systems that process real estate financial documents.
Responsibilities
- ML Model Development & Deployment — Build, train, and deploy classification models (currently served via Wallaroo) that predict financial field/table mappings from document headers. Extend existing BERT-based question-answering models used for extracting structured data from free-text property descriptions
- Pipeline Platform — Maintain and extend the configuration-driven orchestration system that matches incoming files to processing pipelines, executes dynamic conditionals, and writes standardized output to downstream templates
- ETL Engine — Evolve the parsing library that handles complex Excel workbooks with nested headers, multi-tab structures, merged cells, and varied accounting system formats (ARES, GIC, DCS)
- Data Quality & Reliability — Improve prediction accuracy, expand audit logging, and ensure processing integrity across clients and document types
- Architecture & Technical Leadership — Drive technical decisions on model serving infrastructure, database schema design, and API integration patterns with RealPage's Data Management Gateway (DMG). Provide mentorship and technical guidance to your direct report
Skills
- 5+ years Python development with production ML systems
- Strong experience with NLP / text classification — specifically training and fine-tuning transformer models (Hugging Face, TensorFlow) for document understanding tasks
- Deep proficiency with pandas, NumPy, SQLAlchemy, and PostgreSQL
- Experience building and maintaining ETL pipelines that process messy, semi-structured data (Excel, CSV) at scale
- Familiarity with ML model serving platforms (Wallaroo, SageMaker, Vertex AI, or similar) including OAuth2-based inference APIs
- Comfort operating as a technical lead — triaging bugs, shipping features, making architectural calls independently, and mentoring junior engineers
- Demonstrated ability to work across the full stack of a data platform: from raw file ingestion through model inference to API integration
- Python
- Pandas
- TensorFlow
- Hugging Face Transformers
- PostgreSQL
- SQLAlchemy
- Wallaroo ·
- Paramiko/SFTP
- Openpyxl/xlrd
- REST APIs
- OAuth2/JWT
- Domain experience in real estate finance, property management, or accounting data (chart of accounts, trial balances, rent rolls)
- Experience with SFTP-based file processing workflows and Paramiko
- Familiarity with dynamic code generation / evaluation patterns for configurable data transformations
- Background in document parsing / OCR / intelligent document processing
- Experience with SSH-tunneled database connections and multi-environment deployments
- Prior experience mentoring or leading a small team
Benefits
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Performance-based bonus based on position.
- Certain roles are eligible for additional rewards, including annual bonus and sales incentives, depending on the terms of the applicable plan and role as well as individual performance.
Company Overview
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