Senior Data Engineer

PLUM AI; Atlanta (GA); Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Generous health, dental, and vision coverage

401K

Unlimited discretionary vacation days

Equity in a financial technology startup

Job summary

A fintech company is seeking a Senior Data Engineer to design and implement scalable data pipelines using Python. This is a fully remote role requiring expertise in data workflows, Databricks, and cloud infrastructure. You'll have the autonomy to make impactful architectural decisions as part of a collaborative team.

Qualifications

• 2+ years of experience using Python in a cloud environment.
• Proven experience with SQL for data engineering tasks.
• Strong understanding of lakehouse architecture.

Responsibilities

• Design and architect end-to-end data processing pipelines.
• Integrate with external systems to automate data ingestion.
• Develop robust data workflows using Python and Databricks.

Skills

Python programming

Data pipeline building

SQL proficiency

Cloud infrastructure experience

Problem-solving skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Delta Lake

AWS

Apache Spark

Job description

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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.

Base Pay Range

$150,000.00/yr - $200,000.00/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.

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

• Master’s 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 organization 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 accommodate you.

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

Seniority Level

Associate

Employment Type

Full-time

Job Function

IT Services and IT Consulting