Senior Data Engineer

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This range is provided by PLUM AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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.

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.

• 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.

• 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.
• Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains
• Familiarity with CRM platforms (e.g., Salesforce, Hub Spot) and CRM data models
• Experience using ETL tools such as Fivetran or Airbyte
• Understanding of data governance, security, and compliance best practices

• 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…