Senior Data Engineer

November 5

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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PLUM Commercial Real Estate Lending

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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.

11 - 50 employees

Founded 2015

💸 Finance

🏠 Real Estate

🤝 B2B

📋 Description

• Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse. • Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources. • Develop robust data workflows using Python and Databricks Workflows. • Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control. • Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases. • Monitor, troubleshoot, and optimize data workflows in production. • Collaborate with cross-functional teams to translate data needs into scalable solutions.

🎯 Requirements

• Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. • 2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment. • Proven expertise in Python and SQL for data engineering tasks. • Strong understanding of lakehouse architecture and data modeling concepts. • Experience working with Databricks, Delta Lake, and Apache Spark. • Hands-on experience with AWS cloud infrastructure. • Track record of integrating data from external systems, APIs, and databases. • Strong problem-solving skills and ability to lead through ambiguity. • Excellent communication and documentation habits. • Masters in Computer Science, Engineering, Physics or related field (preferred). • Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains (preferred). • Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models (preferred). • Experience using ETL tools such as Fivetran or Airbyte (preferred).

🏖️ 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.