PLUM Commercial Real Estate Lending

QA Automation Engineer

• Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
• Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
• Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
• Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
• Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
• Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
• Process structured, semi-structured, and JSON data from a variety of internal and external sources.
• Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
• Identify opportunities to automate repetitive processes and improve operational efficiency.
• Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Data and Automation Engineer – Python