What You’ll Do
Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation
Build, maintain, and debug SQL transformations, Python scripts, and data pipelines that produce credit reporting data
Trace discrepancies from account activity and source records through transformation logic to furnished outputs; identify root causes and implement lasting fixes
Investigate escalations from Customer Service, explain what happened to account data and what should be reported under approved policies, and provide evidence to support their dispute responses
Identify all accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify the resulting reporting outcomes
Develop automated tests, reconciliations, monitoring, and alerts to catch inaccurate, incomplete, duplicate, or unexpected reporting before submission
Partner with Engineering on defects in production services or the consumer app, providing reproducible examples, affected-account analysis, and clear requirements; validate fixes through the reporting pipeline
Work with Compliance to translate approved reporting requirements into technical rules and escalate ambiguous reporting scenarios
Document reporting logic, data lineage, procedures, and incident resolutions so the process is repeatable and can be supported by others
What We Look For
Degree in computer science, engineering, data science, or a related quantitative discipline
3+ years of relevant experience in data engineering or software engineering, including hands-on ownership of production data pipelines and operational workflows
Advanced SQL skills, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic
Strong Python skills, including the ability to read unfamiliar code, debug existing scripts, and implement maintainable fixes
Demonstrated ability to independently investigate ambiguous problems, prioritize recurring operations and incidents, and carry issues through to verified resolution
Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows
Excellent problem-solving skills, with a track record of tracing data defects across systems and preventing recurrence
Strong business judgment and communication skills; able to explain technical findings to Customer Service and Compliance and work effectively with Engineering
Fluent in English
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
Preferred Knowledge and Skills
Experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, and investigating escalations from customer support teams
Experience with dbt, Redshift, PostgreSQL, AWS, and workflow scheduling or orchestration tools
Experience in consumer lending, servicing, payments, financial services, banking, fintech, or BNPL
The Tech You’ll Work With
Python
Redshift, PostgreSQL
Data build tool (dbt)
WS, G Suite, Mac
Coding agents Claude, ChatGPT
Interview Process
Application submitted (you are here)
Wonderlic test (30-40 min)
Interview with recruiters (30 min)
Online coding assessment focused on SQL, Python, and debugging
Verbal case study interview. Walk through a credit reporting discrepancy, trace the data and code, and explain how you would correct and prevent the issue.
Verbal behavioral interview. Share examples of independently resolving data incidents, improving reliability, and partnering with Engineering and Customer Service.
Offer
About You
You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
You earn trust - you listen attentively, speak candidly, and treat others respectfully.
You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #Full-time
