Staff Platform Engineer – ML-Driven Data Pipelines

RealPage; Town of Texas (WI); On-site; USD 107,000 - 183,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Job summary

RealPage in Richardson, TX seeks a Staff Platform Engineer to own and evolve a financial data integration and ML classification platform. You will lead cross-functional work across ML models, data pipelines, and database schemas, shipping production code that processes enterprise client data.

This role offers high autonomy, mentoring a direct report, and shaping the technical direction for the DMG data platform while delivering scalable, reliable data transformations.

Qualifications

• 5+ years Python development with production ML systems.
• Experience with NLP / transformer models for document understanding.

Responsibilities

• ML Model Development & Deployment — Build, train, and deploy classification models that predict financial field/table mappings from document headers and extend BERT-based models.
• Pipeline Platform — Maintain and extend the configuration-driven orchestration system that matches incoming files to pipelines and writes output to templates.
• ETL Engine — Evolve the parsing library for complex Excel workbooks and varied formats.
• Data Quality & Reliability — Improve prediction accuracy, audit logging, and processing integrity across clients.
• Architecture & Technical Leadership — Lead model serving infrastructure, database schema design, and API integration patterns.

Skills

Python

ML systems

NLP

Pandas

NumPy

SQLAlchemy

PostgreSQL

Tools

Wallaroo

SageMaker

Vertex AI

OAuth2

REST APIs

Paramiko

Job description

RealPage in Richardson, TX seeks a Staff Platform Engineer to own and evolve a financial data integration and ML classification platform. You will lead cross-functional work across ML models, data pipelines, and database schemas, shipping production code that processes enterprise client data.

This role offers high autonomy, mentoring a direct report, and shaping the technical direction for the DMG data platform while delivering scalable, reliable data transformations.