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Plum

Direct lender offering structured CRE financing

Data and Automation Engineer - Python

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • The role requires 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills and experience in data processing, automation, and API integrations are required.
  • Experience with Databricks, PySpark, SQL, and Delta Lake is required.
  • Experience integrating and processing data from multiple SaaS platforms via APIs is required.
  • A strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching is required.
  • Experience working with structured, semi-structured, and JSON data is required.
  • Familiarity with Git and modern software development practices is required.
  • An undergraduate degree in Computer Science, Engineering, Physics, or another relevant field is required.
  • The candidate must be a heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • The candidate must demonstrate the ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • The candidate must be comfortable rapidly prototyping, testing, and iterating using AI-assisted development.

Responsibilities

  • 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.

Desired Qualifications

  • 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.

About the Company

Plum

Direct lender offering structured CRE financing

Plum Lending is a fintech direct lender focused on the middle-market commercial real estate (CRE) sector. It provides structured finance solutions including long-term fixed-rate financing for stabilized properties and short-term bridge loans, with loan sizes from about $1 million to over $100 million. Plum uses data science combined with financial expertise to streamline underwriting and offer a broader range of financing options with more transparency and advisory support, aiming to improve efficiency in CRE lending. Unlike traditional CRE lenders, Plum blends data intelligence with tailored advisory services to speed up decisions and tailor terms to high-quality borrowers, challenging opaque, paper-heavy processes. The company’s goal is to modernize CRE lending by making the process more efficient and transparent for investors and borrowers.

Company size
11-50
Company stage
Late Stage VC
Total funding
$12M
Headquarters
San Francisco, CA
Founded
2014

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