Senior Data Engineer, Credit Reporting

Sezzle; México; On-site; MXN 946,000 - 1,261,000; Full time

Job summary

Sezzle is seeking a Senior Data Engineer in Mexico to own data pipelines, transformations, and reporting that furnish customer account information to credit bureaus. You will work in a fast-growing team, debugging SQL and Python workflows, partnering with Customer Service, Compliance, and Engineering to resolve issues and deliver reliable reporting.

You will lead data-driven improvements, implement automated tests, and ensure data quality across the credit reporting stack while leveraging AI

Qualifications

• Bachelor's degree in computer science, engineering, data science, or a related quantitative discipline.
• 5+ 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.
• 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.

Responsibilities

• 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 datapipelines 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 elevate ambiguous reporting scenarios.
• Document reporting logic, data lineage, procedures, and incident resolutions so the process is repeatable and can be supported by others.

Skills

SQL

Python

Data pipelines

Data transformations

Troubleshooting

Communication

AI tools (Claude)

Education

Bachelor's degree in CS/Engineering/DS

Tools

dbt

Redshift

PostgreSQL

AWS

Orchestration tools

Job description

The salary range for this role is$4,500 - $6,000 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated, best-in-class Senior Data Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. This position will own the data pipelines, transformations, and reporting processes that support accurate, complete, and timely furnishing of customer account information to credit bureaus.

This role presents an opportunity to work in a fast-paced, high growth environment while taking hands‑on ownership of a critical customer‑facing data function. You will dig into account data and code, debug SQL and Python workflows, and carry issues from investigation through verified resolution. You will partner with Customer Service to resolve technical dispute escalations, with Compliance to apply approved reporting requirements, and with Engineering when a fix is needed in production services or the consumer app. We are looking for an independent problem solver who can manage recurring reporting operations while improving the systems behind them.

What You’ll Do:

• Own recurring credit bureau furnishing operations, including data preparation,validation, submissions, bureau feedback, exception resolution, andreconciliation
• Build, maintain, and debug SQL transformations, Python scripts, and datapipelines that produce credit reporting data
• Trace discrepancies from account activity and source records throughtransformation logic to furnished outputs; identify root causes and implementlasting fixes
• Investigate escalations from Customer Service, explain what happened toaccount data and what should be reported under approved policies, andprovide 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 consumerapp, providing reproducible examples, affected-account analysis, and clearrequirements; validate fixes through the reporting pipeline
• Work with Compliance to translate approved reporting requirements intotechnical rules and elevate 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
• 5+ 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
• 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
• 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

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Sezzle’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.