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Senior Data Engineer

3 months ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Spark AWS Databricks Git HubSpot Machine Learning Python Salesforce SQL
Apply Now
Plum Lending

Plum Lending

Plum Lending specializes in providing innovative AI solutions for lenders and brokers in the commercial real estate sector, enhancing the ownership experience by offering extensive loan options, advanced technology tools, and a unique network to suppor...

Real Estate
11-50
Founded 2014
$12M raised
View All Jobs 4

Description

  • Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse.
  • Integrate with external systems (CRMs, file systems, APIs, databases) to automate ingestion of diverse client data sources.
  • Develop and maintain robust data workflows using Python and Databricks Workflows.
  • Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.
  • Own architectural decisions, system design, and production readiness for data infrastructure.
  • Contribute to the evolution of the lakehouse architecture to support downstream analytics and machine learning use cases.
  • Monitor, troubleshoot, and optimize data workflows in production to ensure reliability and performance.
  • Collaborate with cross-functional teams (sales, marketing, product) to translate data needs into scalable solutions and ensure data is accessible and impactful.

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.
  • Experience with Databricks, Delta Lake, and Apache Spark.
  • Hands-on experience with AWS cloud infrastructure.
  • Strong understanding of lakehouse architecture and data modeling concepts.
  • Track record integrating data from external systems, APIs, and databases (e.g., CRMs, file systems).
  • Strong problem-solving skills and ability to lead through ambiguity.
  • Excellent communication and documentation habits.
  • Preferred: Master’s in a related field; experience building data solutions in Fintech, SalesTech, or MarketingTech; familiarity with CRM platforms (Salesforce, HubSpot); experience with ETL tools such as Fivetran or Airbyte; understanding of data governance, security, and compliance best practices.

Benefits

  • Fully remote (U.S.) role with occasional in-person gatherings.
  • Equity in a financial technology startup.
  • Generous health, dental, and vision coverage for employees and family members, plus 401(k).
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.
  • Autonomy, flexibility, flat corporate structure, and high visibility within a small company.
  • Fast-paced, collaborative startup culture with opportunities to make a meaningful impact.

Interested in this position?

Apply directly on the company website

Apply Now

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