PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person's contributions and ideas are critical to the growth of the company.

This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We're a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually.

Job Summary

We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum's next-generation AI-driven products.

You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you'll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful.

Key Responsibilities

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

Preferred Qualifications

Masters in Computer Science, Engineering, Physics or related field.
Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains
Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models
Experience using ETL tools such as Fivetran or Airbyte
Understanding of data governance, security, and compliance best practices

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

Interview Process:

Plum is an orginzation who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you.

We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift

PLUM AI

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