Data and Automation Engineer – Python

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🎰 Nevada, Texas – Remote

🎰 Nevada – Remote 🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

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PLUM Commercial Real Estate Lending

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

💸 Finance

🏠 Real Estate

🤝 B2B

Finance • Real Estate • B2B

PLUM Commercial Real Estate Lending is a finance company specializing in commercial real estate loans for high-quality borrowers, offering a range of lending options from $1 million to over $100 million. The firm focuses on providing tailored lending solutions across various property types, including retail and self-storage. With an experienced team led by industry veterans, PLUM is committed to optimizing financing strategies for its clients in the commercial real estate sector.

📋 Description

• 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.

🎯 Requirements

• 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field. • Strong Python programming skills with experience in data processing, automation, and API integrations. • Experience with Databricks, PySpark, SQL, and Delta Lake. • Experience integrating and processing data from multiple SaaS platforms via APIs. • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching. • Experience working with structured, semi-structured, and JSON data. • Familiarity with Git and modern software development practices. • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants. • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity. • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development. • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools. • Experience with CRM platforms such as Salesforce or HubSpot. • Familiarity with LLM APIs and AI-powered applications. • Experience working in fast-paced startup environments. • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

🏖️ Benefits

• A fast-paced, collaborative startup culture with high visibility. • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. • Opportunity to make a meaningful impact in building a company and culture. • Equity in a financial technology startup. • Generous health, dental, and vision coverage for employees and family members + 401K. • Eleven paid holidays and unlimited discretionary vacation days. • Competitive compensation and bonus potential.