Staff ML & Data Platform Engineer

RealPage, Inc.; Richardson (TX); On-site; USD 107,200 - 182,600; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement savings plan with company match

Paid time off and holidays

Professional development opportunities

Performance-based bonus

Job summary

RealPage, Inc. is seeking a Staff Engineer to lead the evolution of their financial data integration platform. The role involves building and deploying ML models for classifying financial reports and managing data pipelines. You will directly impact how financial data flows, ensuring high reliability and accuracy.

The ideal candidate has over 5 years of Python development experience in production ML systems, and strong expertise in NLP, ETL, and database interactions.

The position offers a competitive salary and comprehensive benefits, along with opportunities for professional growth.

Qualifications

• 5+ years Python development with production ML systems.
• Strong experience with NLP / text classification.
• Deep proficiency with pandas, NumPy, SQLAlchemy, and PostgreSQL.
• Experience building and maintaining ETL pipelines.

Responsibilities

• Build, train, and deploy classification models.
• Maintain and extend the configuration-driven orchestration system.
• Evolve the parsing library handling complex Excel workbooks.
• Improve prediction accuracy and ensure processing integrity.

Skills

Python development

NLP / text classification

pandas

NumPy

SQLAlchemy

PostgreSQL

ETL pipelines

OAuth2-based inference APIs

Tools

TensorFlow

Hugging Face Transformers

Wallaroo

Paramiko

REST APIs

Job description

RealPage, Inc. is seeking a Staff Engineer to lead the evolution of their financial data integration platform. The role involves building and deploying ML models for classifying financial reports and managing data pipelines. You will directly impact how financial data flows, ensuring high reliability and accuracy.

The ideal candidate has over 5 years of Python development experience in production ML systems, and strong expertise in NLP, ETL, and database interactions.

The position offers a competitive salary and comprehensive benefits, along with opportunities for professional growth.